Science Salary in Salt Lake City, UT

Who You'll Work WithAs a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. Working with the teams at Slalom you will blend design, engineering, and analytics expertise to build the future. As a Slalom technologist you will be surrounded with interesting challenges, innovative minds, and emerging technologies.Slalom Salt Lake City is looking for a strategic leader to run and grow our Data & Analytics practice and team. The responsibilities will be split between business and practice development, relationship management, engagement delivery, people management and partnership with the local and global Data platforms. Slalom is looking for someone with proven experience and fluency in at least 2 of the following skill groups to deliver value to clients: data architecture, data strategy and/or advanced analytics.What You'll Do Serve as senior subject matter expert in the data & analytics space for clients to engage with and influence executives through customer-focused solution development and value-driven delivery. Serve as a senior data specialist who can be staffed part time (40-60%) on strategic projects.Lead the Data & Analytics practice by collaborating with other practices and partners where you will be focusing on go-to-market offerings, marketing materials, use cases and offerings growth (e.g., Omnichannel, Data Strategy, Data Governance, etc.).Lead business development, staffing, and delivery of projects primarily in our core competencies of data architecture, data visualization, and data science to solve complex client problems.Drive knowledge management locally and in collaboration with other markets to provide solutions to our local clients.Lead and mentor team members in data and analytics topics along with creating custom growth plans for the team members. This includes creating upskilling opportunities as well as training paths leading to certifications.Qualify and progress opportunities through the sales cycle (leading solution discussions, designing proposals, and writing statements of work).What You'll Bring 10+ years of demonstrated experience in data engineering, data architecture, data visualization, and/or data science.4-8 years of experience in capabilities leadership, sales, and partnership management.Proficiency in the Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) with a data and analytics lens.Possess strong marketing, customer analytics/ logical thinking skills, and clarity of thought.Experience with people management and engagement delivery in a business services industry.Experience with disruptive technologies such as Snowflake, Databricks, GCP, Teradata, Tableau, Power BI, Data Science and Big Data.About UsSlalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 43 markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 13,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at slalom.com. Compensation and BenefitsSlalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that includemeaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer additional benefits such as a yearly $350 reimbursement account for any well-being related expenses as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. EEO and AccommodationsSlalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process. #LI-JN1

Machine Learning Scientist IIRemote or Hybrid or On-site within OR, WA, ID or UTCambia Health Solutions is working to create a seamless and frictionless health care experience for consumers nationwide. This presents a unique challenge and opportunity for innovative solutions that serve patients and providers and influence the healthcare system. Cambia's AI team builds, prototypes, and deploys data-driven models and algorithms to production systems, delivering more equitable, effective, and affordable health care to our members.We are seeking a talented and skilled Machine Learning Scientist II to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better health care. We contribute broadly across Cambia, working on a wide range of challenging problems, for instance:Reducing our members' claim costs using both supervised and unsupervised approaches.Speeding up prior authorizations and appeals using NLP to understand clinical notes.Personalizing member engagement to promote the health and well-being of our members.Driving health equity across Cambia initiatives.And much more!As a Machine Learning Scientist II, you will play a vital role in understanding requirements, prototyping and building models, conducting experiments, and driving innovative solutions. Your passion for machine learning, deep learning, and NLP, coupled with your eagerness to learn and grow, will be instrumental in advancing Cambia's data-driven initiatives.Qualifications & Requirements:Academic degree (master's or PhD preferred) in Data Science, Computer Science, Statistics, or a related field.Machine learning: Strong mathematical foundation and understanding of the concepts underlying machine learning, deep learning, NLP, statistical modeling, and data analysis. Familiarity with common machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, XGBoost, etc. Understanding of standard algorithms (e.g., search & sort) and data structures, and their analysis.NLP: Expertise in NLP and experience using LLM and NLP libraries like NLTK, spaCy, or Hugging Face transformers is a plus.Model development and evaluation: Experience applying a variety of ML techniques and approaches to solve problems. Strong foundation in model evaluation, including metric development and selection.Familiarity with production systems: Basic understanding of software engineering principles and considerations for deploying ML models in production systems. Exposure to containerization technologies (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, Azure, GCP) is helpful. Understanding of model monitoring and MLOps.Data preprocessing and analysis: Understanding of how to structure machine learning pipelines. Familiarity with data preprocessing techniques and tools. Experience with SQL and/or python data processing libraries (e.g., Pandas, NumPy).Analytical mindset: Strong analytical thinking and problem-solving abilities to contribute to data analysis and experimental evaluations. Attention to detail and an eagerness to learn from experimental results.Communication and teamwork: Good communication skills to collaborate effectively with cross-functional teams. Willingness to collaborate and learn with team members.Healthcare knowledge: Previous experience is beneficial but not required.Responsibilities:Model prototyping and development: Use machine learning, deep learning, and NLP to prototype, develop, and refine models on top of our ML platform, leveraging best practices and established frameworks. Implement algorithms and techniques to meet requirements and objectives of specific business problems.Experimentation and evaluation: Conduct experiments and evaluations to assess the performance and effectiveness of different models and techniques. Develop metrics that reflect the needs of the business for their use cases. Analyze experimental results, interpret findings, and provide actionable recommendations.Model deployment and productionization: Work with ML Engineers to optimize and adapt models for real-time, scalable, and efficient performance. Collaborate with engineering and infrastructure teams to ensure seamless integration and deployment of models into production systems.Requirement analysis and solution design: Collaborate with cross-functional teams to understand business requirements, define clear objectives, and develop technical plans. Work with stakeholders to identify opportunities where machine learning techniques can provide valuable insights and solutions.Data preprocessing and feature engineering: Implement robust and reusable data preprocessing and feature engineering pipelines to extract meaningful insights from raw data. Clean, transform, and prepare datasets to facilitate effective model training and evaluation.Continuous learning and innovation: Stay updated with the latest advancements in machine learning, deep learning, and NLP, particularly as applied in healthcare. Explore and evaluate new algorithms, frameworks, and tools to enhance model performance and efficiency.Work Environment:Work primarily performed in a hybrid environment consisting of in-office and working from home. Travel may be required, locally or out of state. The expected hiring range for a Machine Learning Scientist II is $119,900 - $162,200 depending on skills, experience, education, and training; relevant licensure / certifications; performance history; and work location. The bonus target for this position is 15% . The current full salary range for this role is $112,000 - $184,000Base pay is just part of the compensation package at Cambia that is supplemented with an exceptional 401(k) match, bonus opportunity and other benefits. In keeping with our Cause and vision, we offer comprehensive well-being programs and benefits, which we periodically update to stay current. Some highlights:medical, dental, and vision coverage for employees and their eligible family membersannual employer contribution to a health savings account ($1,200 or $2,500 depending on medical coverage, prorated based on hire date)paid time off varying by role and tenure in addition to 10 company holidaysup to a 6% company match on employee 401k contributions, with a potential discretionary contribution based on company performance (no vesting period)up to 12 weeks of paid parental time off (eligible day one of employment if within first 12 months following birth or adoption)one-time furniture and equipment allowance for employees working from homeup to $225 in Amazon gift cards for participating in various well-being activities. for a complete list see our External Total Rewards page.We are an Equal Opportunity and Affirmative Action employer dedicated to workforce diversity and a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required.If you need accommodation for any part of the application process because of a medical condition or disability, please email [email protected]. Information about how Cambia Health Solutions collects, uses, and discloses information is available in our Privacy Policy. As a health care company, we are committed to the health of our communities and employees during the COVID-19 pandemic. Please review the policy on our Careers site.

Senior Machine Learning ScientistRemote or Hybrid within OR, WA, ID or UTCambia Health Solutions is working to create a seamless and frictionless healthcare experience for consumers nationwide. This presents a unique challenge and opportunity for innovative solutions that serve patients and providers and influence the healthcare system. Cambia's AI team builds, prototypes, and deploys data-driven models and algorithms to production systems, delivering more equitable, effective, and affordable health care to our members. We are seeking a highly-skilled and experienced Senior Machine Learning Engineer to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better health care. We contribute broadly across Cambia, working on a wide range of challenging problems, for instance:Reducing our members' claim costs using both supervised and unsupervised approaches. Speeding up prior authorizations and appeals using NLP to understand clinical notes. Personalizing member engagement to promote the health and well-being of our members. Driving health equity across Cambia initiatives. And much more! As a Senior ML Engineer on our team, you will play a crucial role in identifying gaps in our existing ML platform and architecting and building solutions to address those gaps. You will also collaborate with the AI team's ML Scientists and our partner data engineering and software development teams to bring ML models to production and maintain their health and integrity while in production. Your expertise in machine learning, coupled with a strong background in software development, will be instrumental in driving the success of Cambia's AI/ML initiatives. Qualifications and Requirements:Academic degree (Masters or PhD preferred) in Computer Science, Engineering, or a related field. Minimum of 7 years of experience in ML development and deploying ML solutions in cloud-based production environments. Experience with ML platforms and ML Ops: Demonstrated experience in assessing and improving ML platforms, identifying gaps, and architecting solutions to address them. Strong familiarity with ML platform components such as data ingestion, preprocessing, feature stores, model training, deployment, and monitoring. Strong machine learning expertise: Proficient in machine learning algorithms, statistical modeling, and data analysis. Hands-on experience with standard ML frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, XGBoost). Software development skills: Solid understanding of software engineering principles, data structures, and algorithms. Proficient in Python and/or other programming languages commonly used in ML development. Data preprocessing: Proficient in SQL and/or python data-processing libraries such as pandas, NumPy, etc. Collaborative mindset: Ability to work effectively with cross-functional teams to drive alignment and deliver high-quality solutions. Strong communication and collaboration skills are essential. Problem-solving and analytical thinking: Ability to analyze complex problems, break them down into manageable components, and propose innovative solutions. Strong analytical skills for evaluating system performance, identifying bottlenecks, and implementing optimizations. Continuous learning: Passion for staying up-to-date with the latest advancements in machine learning and data engineering. Proactive in learning new tools, techniques, and frameworks to drive innovation and improve the ML platform. Healthcare knowledge: Previous experience is beneficial but not required. Responsibilities:ML platform and ML Ops: Identify areas that require improvements or additional functionalities and use your expertise in machine learning and software engineering to architect and develop solutions that fill gaps in our ML platform and development ecosystem. Analyze system performance, scalability, and reliability to pinpoint opportunities for enhancement. Develop tools and solutions that help the team build, deploy, and monitor AI/ML solutions efficiently. System scalability and reliability: Optimize the scalability, performance, and reliability and AI Team solutions by implementing best practices and leveraging industry-standard technologies. Collaborate with infrastructure teams to ensure smooth integration and deployment of ML solutions. Design scalable and efficient systems that leverage the power of machine learning for enhanced performance and capabilities. Data processing and workflow pipelines: Streamline data ingestion, preprocessing, feature engineering, and model training workflows to improve efficiency and reduce latency. Work with data engineering and data platform teams to design and implement robust data pipelines that support the AI team's needs. Model deployment and monitoring: Evaluate and optimize model prototypes for real-world performance. Work with infrastructure and development teams to integrate ML models into production systems. Work closely with partner teams to communicate and understand technical requirements and challenges. ML advancements: Keep abreast of the latest trends, research, and advancements in the field of machine learning. Share knowledge and insights with the team to drive innovation and continuous improvement within the ML platform. Work Environment:Work primarily performed in a hybrid environment consisting of in-office and working from home. Travel may be required, locally or out of state."The expected hiring range for a Senior Machine Learning Scientist I is $145,400 -$196,70 depending on skills, experience, education, and training; relevant licensure / certifications; performance history; and work location. The bonus target for this position is 20% . The current full salary range for this role is $136,000 - $223,000The expected hiring range for a Senior Machine Learning Scientist II is $176,000 - $238,100 depending on skills, experience, education, and training; relevant licensure / certifications; performance history; and work location. The bonus target for this position is 20% . The current full salary range for this role is$165,000 - $270,000Base pay is just part of the compensation package at Cambia that is supplemented with an exceptional 401(k) match, bonus opportunity and other benefits. In keeping with our Cause and vision, we offer comprehensive well-being programs and benefits, which we periodically update to stay current. Some highlights:medical, dental, and vision coverage for employees and their eligible family membersannual employer contribution to a health savings account ($1,200 or $2,500 depending on medical coverage, prorated based on hire date)paid time off varying by role and tenure in addition to 10 company holidaysup to a 6% company match on employee 401k contributions, with a potential discretionary contribution based on company performance (no vesting period)up to 12 weeks of paid parental time off (eligible day one of employment if within first 12 months following birth or adoption)one-time furniture and equipment allowance for employees working from homeup to $225 in Amazon gift cards for participating in various well-being activities. for a complete list see our External Total Rewards page.We are an Equal Opportunity and Affirmative Action employer dedicated to workforce diversity and a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required.If you need accommodation for any part of the application process because of a medical condition or disability, please email [email protected]. Information about how Cambia Health Solutions collects, uses, and discloses information is available in our Privacy Policy. As a health care company, we are committed to the health of our communities and employees during the COVID-19 pandemic. Please review the policy on our Careers site.

Job DescriptionK12, a Stride Company, believes in Education for ANY ONE. We provide families an online option for a high-quality, personalized education experience. Students can thrive, find their passion, and learn in an environment that encourages discovery at their own pace. In support of this, we are committed to creating and maintaining a culture of inclusion and diversity where our employees are passionate about serving students and families, treat one another and customers with respect, challenge each other to innovate and always strive to do better.Passionate Educators are needed at the Stride K12 partner school, the Shared Teacher Experience Program (STEP). We want you to be a part of our talented team!The mission of the Shared Teacher Experience Program (STEP) is to provide an exemplary individualized and engaging educational experience for students by incorporating school and community/family partnerships coupled with a rigorous curriculum along with a data-driven and student-centered instructional model. Student success will be measured by valid and reliable assessment data, parent and student satisfaction, and continued institutional growth within the academic community. Join us!The CRE Computer Science/IT Teacher is state certified teacher and/or alternatively certified CTE Teacher responsible for delivering specific course content in an on-line environment. The CRE Computer Science/IT Teacher must also be a provide instruction, support, and guidance, manage the learning process, and focus on students' individual needs. CRE Computer Science/IT Teachers monitor student progress through K12's learning management system, and work actively with students and parents to advance each students learning and to develop and monitor a plan for post-secondary success via online tools like Career Builder, Career Cruising, etc.THIS IS A PART-TIME POSITION THAT WILL LIKELY PAY $20-$30/HOURThis is a part-time position. Ability to work independently, typically 20 hours per week. Ability to maintain a professional home office without distraction during workday, typically 9-5 (or 8-4) or as defined by the school.As part of our program, we work with a variety of schools to support their needs and their students by offering live class sessions based on the daily school schedule. This means that availability and flexibility are important within our teacher pool in order to support the schools that we serve and students needs as they arise.ESSENTIAL FUNCTIONS: Reason accommodation may be made to enable individuals with disabilities to perform the essential duties.Instructional/CurricularEffectively apply working knowledge of the K12 curriculum and Online School as it relates to grade and subject level assignment.Maintain and effectively apply knowledge of the State, Common Core and Industry Specific learning standards.Support students/parents with placement, online school set up, curriculum and instructional issues.Develop effective instructional tools and strategies to supplement and enhance provided curriculum.CommunicationContact the student regularly via e-mail or phone.Respond within appropriate time frame (usually one business day) to student/parent inquiries.Participate in a weekly teacher conference call with the Academic AdministratorAttending regularly scheduled face-to-face and virtual staff meetings.Records ManagementDevelop and maintain student academic progress.Generate formal reports.Alert administrators of any concerns about student progress and attendanceProcess student change in placement, as appropriateComplete semester and end of year progress reportsCommunityOrganize orientation, training, social, and educational activities for students and families.Create a monthly newsletter or updated Website.Travel to assigned geographic areas to support students; participate in school activities such as open houses, expos, information session and orientations.Lead student/parent orientationsAssessment/EvaluationWork with the administration to prepare students for state assessmentsServe as proctors for site-based proctored examsAdminister state assessmentsAssess students per policyCertificates and Licenses: Appropriate State Computer Science teaching certificationResidency Requirement: United States residentREQUIRED QUALIFICATIONS:Bachelor's degree ANDThree (3) years of successful teacher experience within the virtual setting OREquivalent combination of education and experienceAbility to clear required background check(s)DESIRED QUALIFICATIONS:Shared view of the virtual academy's missionStrong content and subject-matter knowledgeAn ability to support and guide adults as well as studentsKnowledgeable in the application of data bases utilized by K12Strong written and verbal communication skillsOrganization and time-management skillsMicrosoft Office 365; Web proficiency.Ability to travel up to 20% of the time for face-to-face professional development, student testing, and/or as required by the school.Experience as an online learnerExperience with project based learningExperience using a student information system and/or other type of databaseAn ability to support adults with basic computer set-up and navigationExpected Work Hours:TYPICALLY, 20-25 PER WEEK RequiredFewer or Additional Hours May be Required based on business needsWork Hours May be Required during Day Time Business Hours (8am-5pm, ET, Mon-Fri)WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.This is a home-based positionJob TypeRegularThe above job is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. All employment is "at-will" as governed by the law of the state where the employee works. It is further understood that the "at-will" nature of employment is one aspect of employment that cannot be changed except in writing and signed by an authorized officer.Stride, Inc. is a Federal Contractor, an Equal Opportunity/Affirmative Action Employer and a Drug-Free Workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected Veteran status age, or genetics, or any other characteristic protected by law.Equal Opportunity Employer/Protected Veterans/Individuals with DisabilitiesThe contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

Senior Machine Learning ScientistRemote within OR, WA, ID or UTCambia Health Solutions is working to create a seamless and frictionless healthcare experience for consumers nationwide. This presents a unique challenge and opportunity for innovative solutions that serve patients and providers and influence the healthcare system. Cambia's Applied AI team builds, prototypes, and deploys data-driven models and algorithms to production systems, delivering more equitable, effective, and affordable health care to our members.We are seeking a highly-skilled and experienced Senior Machine Learning Scientist to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better health care. We contribute broadly across Cambia, working on a wide range of challenging problems. In this role, we are seeking a technical leader for our Healthcare Services Operations AI team working on use cases such as• Streamline prior authorization and appeal reviews using GenAI and NLP.• Summarizing medical policy decisions in plain language for our members.• Identifying members at risk for certain conditions to offer them opportunities for high-value care.• And much more!As a Senior ML Scientist on our team, you will play a crucial role in leading the team in understanding requirements, prototyping and building models, conducting experiments, and driving innovative solutions. Your passion for machine learning, deep learning, and NLP, coupled with your curiosity and desire to keep learning, will be instrumental in advancing Cambia's data-driven initiatives. In collaboration with your fellow ML Scientists, our AI product team, and our partner data engineering and software development teams, you will bring ML models to production and maintain their health and integrity while in production. Your expertise in theoretical machine learning, coupled with your practical experience engineering ML systems, will be instrumental in driving the success of Cambia's AI/ML initiatives.Qualifications and Requirements• Academic degree (masters or PhD preferred) in Computer Science, Engineering, or a related field.• Minimum of 7 years of experience in ML development and deploying ML solutions in cloud-based production environments for a Senior MLS I• Minimum of 9-12 years of experience in ML development and deploying ML solutions in cloud-based production environments for a Senior MLS II• Machine learning: Strong mathematical foundation and understanding of the concepts underlying classic machine learning, deep learning, NLP, statistical modeling, and data analysis. Expert-level familiarity with common machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, XGBoost, etc.• Natural Language Processing (NLP): Expertise in NLP and experience using NLP libraries like NLTK, SpaCy, Gensim, etc. is a strong plus.• Generative AI and Large Language models (strongly preferred): Understanding and experience working with language (LLM) models and generative AI, including encoder-only (BERT Family) and autoregressive models (GPT family). Experience using different frameworks and libraries including but not limited to huggingface, Langchain, Llamaindex, vector databases.• Model development and evaluation: Experience in and deep intuition for applying ML techniques and approaches to solve problems. Strong foundation in model evaluation, including metric development and selection.• Software development skills: Solid understanding of software engineering principles, data structures, and algorithms. Expert-level proficiency in Python.• ML production systems: Experience deploying ML models in production systems. Exposure to containerization technologies (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, Azure, GCP) is helpful. Strong grounding in model monitoring and MLOps.• Data preprocessing and analysis: Understanding of how to structure machine learning pipelines. Familiarity with data preprocessing techniques and tools. Experience with SQL and/or python data processing libraries (e.g., Pandas, NumPy).• Analytical mindset: Strong analytical thinking and problem-solving abilities to contribute to data analysis and experimental evaluations. Attention to detail and an eagerness to learn from experimental results.• Communication and teamwork: Good communication skills to collaborate effectively with cross-functional teams. Willingness to collaborate and learn with team members.• Continuous learning: Passion for staying up-to-date with the latest advancements in machine learning and data engineering. Proactive in learning new tools, techniques, and frameworks to drive innovation.• Leadership: Strong leadership, coaching, and mentorship abilities. Ability to inspire and motivate team members towards achieving goals and delivering high-quality results.• Responsible AI: Desire to adhere to ethical considerations and responsible AI practices in machine learning. Familiarity with fairness, bias mitigation, privacy, and security aspects of machine learning models.• Healthcare knowledge: Previous experience is extremely helpful but not required.Responsibilities:• Technical leadership: Lead projects and mentor machine learning scientists and engineers. Provide technical guidance and model technical excellence. Foster a collaborative and inclusive team culture that encourages innovation, growth, and continuous learning.• Requirement analysis and solution design: Collaborate with cross-functional teams to understand business requirements, define clear objectives, and develop technical plans. Work with stakeholders to identify opportunities where machine learning techniques can provide valuable insights and solutions.• Data preprocessing and feature engineering: Implement robust and reusable data preprocessing and feature engineering pipelines to extract meaningful insights from raw data. Clean, transform, and prepare datasets to facilitate effective model training and evaluation.• Model prototyping and development: Use machine learning, deep learning, and NLP to prototype, develop, and refine models on top of our ML platform, leveraging best practices and established frameworks. Implement algorithms and techniques to meet requirements and objectives of specific business problems.• Experimentation and evaluation: Conduct experiments and evaluations to assess the performance and effectiveness of different models and techniques. Develop metrics that reflect the needs of the business for their use cases. Analyze experimental results, interpret findings, and provide actionable recommendations.• Model deployment and productionization: Work with AI Engineers to optimize and adapt models for real-time, scalable, and efficient performance. Collaborate with engineering and infrastructure teams to ensure seamless integration and deployment of models into production systems.• Model monitoring and maintenance: Track the performance and impact of machine learning models and solutions in production settings. Report on KPIs and provide actionable insights to stakeholders. Continuously iterate and improve models based on feedback and real-world data.• Continuous learning and innovation: Stay updated with the latest advancements in machine learning, deep learning, and NLP, particularly as applied in healthcare. Explore and evaluate new algorithms, frameworks, and tools to enhance model performance and efficiency.• Machine learning strategy: Contribute to and execute the organization's machine learning strategy. Identify and weigh in on areas where machine learning can provide the most value and competitive advantage.• Compliance and ethical considerations: Ensure compliance with Responsible AI guidelines in the development and deployment of machine learning models. Promote fairness, transparency, and accountability in all aspects of machine learning initiatives.Work Environment• Work primarily performed in a hybrid environment consisting of in-office and working from home.• Travel may be required, locally or out of state.The expected hiring range for a Senior Machine Learning Scientist I is $145,400 -$196,700 depending on skills, experience, education, and training; relevant licensure / certifications; performance history; and work location. The bonus target for this position is 20% . The current full salary range for this role is $136,000 - $223,000The expected hiring range for a Senior ML Scientist II is $176,000 - $238,100 depending on skills, experience, education, and training; relevant licensure / certifications; performance history; and work location. The bonus target for this position is 20% . The current full salary range for this role is $165,000 - $270,000Base pay is just part of the compensation package at Cambia that is supplemented with an exceptional 401(k) match, bonus opportunity and other benefits. In keeping with our Cause and vision, we offer comprehensive well-being programs and benefits, which we periodically update to stay current. Some highlights:medical, dental, and vision coverage for employees and their eligible family membersannual employer contribution to a health savings account ($1,200 or $2,500 depending on medical coverage, prorated based on hire date)paid time off varying by role and tenure in addition to 10 company holidaysup to a 6% company match on employee 401k contributions, with a potential discretionary contribution based on company performance (no vesting period)up to 12 weeks of paid parental time off (eligible day one of employment if within first 12 months following birth or adoption)one-time furniture and equipment allowance for employees working from homeup to $225 in Amazon gift cards for participating in various well-being activities. for a complete list see our External Total Rewards page.We are an Equal Opportunity and Affirmative Action employer dedicated to workforce diversity and a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required.If you need accommodation for any part of the application process because of a medical condition or disability, please email [email protected]. Information about how Cambia Health Solutions collects, uses, and discloses information is available in our Privacy Policy. As a health care company, we are committed to the health of our communities and employees during the COVID-19 pandemic. Please review the policy on our Careers site.

Land IQ, LLC is seeking a Remote Sensing Scientist in its Sacramento, California office with a specialization in data driven analytics and algorithm development with digital images for agricultural and other land use applications (crop classification, yield modeling, land use impacts, land use change, etc.). The successful Remote Sensing Scientist candidate will be responsible for working with our growing geospatial team comprised of remote sensing/GIS experts and a range of agronomic, environmental, and other land-based science disciplines. Applicants must have strong analytical, remote sensing and GIS skills and an exceptionally strong understanding of machine learning algorithms. This is an environmental consulting position requiring ability to develop analysis approaches/methodology and work within a team to optimize methods. The applicant must have good communication skills, readily work in a team environment, demonstrate ability to manage multiple tasks and perform work on time and within budget resources. Office Locations: Sacramento, CAHiring Timeframe: ImmediateEmployment Type: Full time, including benefitsSalary: $85,000 - $115,000 depending on experiencePrimary Responsibilities: Work in a team environment on a wide range of projects, supporting our team of scientists, remote sensing analysts, and GIS analysts Organized and methodical with communications and work documentation Understand geospatial challenges and conceptualize and articulate analysis approach ideas within a multi-disciplinary teamDevelop and perform raster-based imagery analysis procedures, spatial and statistical modeling applicationsPerform and develop advanced object-based image analysis procedures and methodologies for earth science applicationsDevelop and implement remote sensing and statistical methodologies to perform land use and land cover classification (crop classification)Develop innovative image analysis solutions using a wide array of data sources Resourceful in seeking, preparing, and/or creating raster & vector data Leverage a strong understanding of multispectral imagery characteristics to solve complex agricultural and environmental land-based problemsRequired Qualifications:Education: BS/MS Remote Sensing/Geography/Data Sciences field (advanced degree preferred) Experience: 0-5 years of experience in at least one of the following areas:Remote sensing-based land cover mapping over agricultural areas and crop classification;Image based time series analysis and crop phenology modeling;Remote sensing of crop evapotranspiration; and/orImage based crop yield modeling.Required Technical Capabilities:Proficient at remote sensing modeling (e.g., data cleaning, feature selection, analysis, designing, building, and model assessment).Proficient at advanced spatial analysis and geoprocessing (e.g., image segmentation, object-based image analysis).Proficient at machine learning algorithms, familiar with algorithms like Generalized Linear Model, Random Forest, CART, and/or deep learning.Familiar with deep learning platforms (e.g., Keras, Tensorflow) and related classification and segmentation algorithms.Strong programming skills with Python.Experienced in Python packages like NumPy, SciPy, Geopandas, Matplotlib, Scikit-Learn, Keras.Professional ApproachStrong organizational, communication and writing skills, positive/enthusiastic attitude, passionate about professional pursuits, personable, ability and desire to learn, and attention to detail, strong moral and ethical personal standards. Enthusiastic about collaborating with team members to reach team and organizational goals. Team player.ContactLand IQ specializes in providing solutions to challenging agricultural and environmental problems throughout the western United States. Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy. visit our website for more information at www.landiq.com.

Machine Learning Scientist (Future Opportunities)Remote Within OR, WA, UT or ID**Please note this role is a candidate pool, and we are always looking for top talent. We do not always have open positions but we encourage you to submit your resume so you will be considered for all open roles as they become available.**Primary Job PurposeMachine Learning Scientists (MLS) work with various stakeholders to design, develop, and implement data-driven solutions. This position applies expertise in advanced analytical tools such as machine learning, deep learning, optimization, and statistical modeling to solve business problems in the healthcare payer domain. Data Scientists in the Machine Learning track work may focus on a particular area of the business such as clinical care delivery, customer experience, or payment integrity, or they may work across several areas spanning the organization. In addition to expertise in analysis, machine learning and deep learning, this role requires knowledge of data systems, basic software development best practices, and algorithmic design.Machine Learning Scientists work closely with AI team members in the Product and Engineering tracks to collaboratively develop and deliver models and data-driven products. ML Scientists also collaborate and communicate with business partners to design and develop data-driven solutions to business problems and interpret and communicate results to technical and non-technical audiences.General Functions and OutcomesFor MLS I:Note that these responsibilities are representative but not exhaustive. Higher level roles involve successively stronger degrees of initiative taking and innovation beyond the core responsibilities listed here.Researches, designs, develops, and implements data-driven models and algorithms using machine learning, deep learning, statistical, and other mathematical modeling techniques.Trains and tests models, and develops algorithms to solve business problems.Adheres to standard best-practices and establishes principled experimental frameworks for developing data-driven models.Develops models and performs experiments and analyses that are replicable by others.Uses open-source packages when appropriate to facilitate model developmentIdentifies, measures, analyzes, and visualizes drivers to explain model performance (e.g., feature importance, interpretability, bias and error analysis), both offline (in the development phase) and online (in production).Uses appropriate metrics and quantified outcomes to drive model and algorithm improvements.Analyzes, diagnoses, and resolves bugs in production machine learning models and systems.Evaluates model/use case feasibility by quickly generating prototypes.Takes models from prototype stage and improves performance as needed.Writes clean, well-commented, tested, version-controlled, and maintainable python code.Collaborates with team members and Cambia business partners.Actively participates in group meetings and discussions.Communicates effectively both orally and in writing with both technical and non-technical audiences.Keeps current with the state of the art in machine learning and AI and its application to healthcare.Keeps current with evolving commercial and open source tools, techniques, and brings these practices to projects.Over time develops familiarity and insight with various subdomains of healthcare dataAdditional General Functions & Outcomes for Machine Learning Scientist IIGenerates new features, by following examples, using SQL or SQL-like code.Works effectively with data that may be noisy, high dimensional, sparse and/or imbalanced.Contributes to the full life-cycle of modeling, from training, to model evaluation, to model deployment.Builds robust production grade machine learning pipelines using tools and patterns in the AI platform.Accesses and processes structured and unstructured data in various databases and formats.Assesses new machine learning capabilities and adapts them to our problems and environment.Identifies or develops appropriate model metrics and objective functions to ensure models satisfy stated business requirements and KPIs.Proactively identifies potential pitfalls and risks and develops ways to avoid them.Plays a role in ensuring that the work being carried out by the AI team has sufficient business value.Writes clean, well-commented, efficient Python code.Additional General Functions & Outcomes for Machine Learning Scientist Sr. IGenerates feature pipelines and datasets using novel data sources, where example SQL may not exist.Works with large datasets that require cloud resources or distributed computing.Takes on net new/greenfield work and establishes project foundations.Identifies and determines what data is available and relevant, including both internal and external data sources.Tech lead for 1-2 project teams, products, or end-to-end systems.Builds reusable machine learning components, pipelines and tools for others to use.Oversees technical output in their area(s)/domain(s).Researches and evaluates possible solutions, including but not limited to vendors, open-source pre-trained models, cloud services, etc.Stays abreast of novel approaches and techniques in the field. Shares new ideas and discoveries with the team and applies new ideas when appropriate to generate business value.Devises project plans to address business problems, drawing from an increasingly broad ML toolset grounded in hands-on experiences and prior successes delivering business value.In collaboration with Data Science Product Manager(s), develops target success criteria.Participates in recruitment efforts by the team.Mentors others to help develop their skills.Additional General Functions & Outcomes for Machine Learning Scientist Sr. IIContributes to the development of technical strategy and roadmaps in at least one major area of the AI portfolio.Leads technical aspects of large-scale initiatives.Makes material improvements in processes or infrastructure that reduces the load on team members.Develops materials (oral and written) within the Cambia community to increase awareness of AI/ML and how it can be applied in the healthcare payer space.Connects new machine learning opportunities and existing efforts to corporate and departmental strategies.Represents Cambia through publishing research and acquiring patents.Designs online experiments and assessment methods, for example A/A and A/B testing.Identifies industry trends in machine learning/healthcare and communicates the impact and opportunities to the team and business leaders.Works and interacts across the organization with a variety of business units.Identifies team learning objectives and builds curricula.Contributes to development of recruitment strategies for the AI team.Minimum RequirementsCompetencies and Knowledge:For all levels:Demonstrated knowledge of data science, machine learning, and modeling.Ability to use well-understood techniques and existing patterns to build, analyze, deploy, and maintain models.Effective in time and task management.Able to develop productive working relationships with colleagues and business partners.Strong interest in the healthcare industry. Core Knowledge:Machine Learning: Strong mathematical foundation and theoretical grasp of the concepts underlying machine learning, optimization, etc. (see below). Demonstrated understanding of how to structure simple machine learning pipelines (e.g., has prepared datasets, trained and tested models end-to-end).Data: Strong foundation in data analysis.Programming: Strong python programming skills. Familiarity with standard data science packages. Familiarity with standard software development best practices. Strong SQL skills a plus.Algorithms: Understanding of standard algorithms and data structures (ex. search & sort) and their analysis.Additional Minimum Requirements for Machine Learning Scientist IIAbility to code effectively in and create novel features and datasets using SQL or SQL-like languages.Ability to write clean, well-commented, efficient Python code.Strong understanding of techniques for working with noisy, high-dimensional, sparse, and/or imbalanced data.Demonstrates in-depth familiarity with at least one domain of data (e.g., claims data).Demonstrates depth of understanding in at least one major ML modeling technique or approach.Ability to develop new machine learning pipelines for both offline testing and online serving of models.Demonstrated track record of delivery of data science and machine learning models to solve well-defined business problems.Has working knowledge of department processes, procedures, and infrastructure.Able to identify common pitfalls in developing ML models (e.g., data leakage across features or partitions)Ability to translate business requirements into data science and machine learning discovery plans and modeling objectives.Ability to articulate the high-level business objectives of their work.Performs a range of data science tasks with a moderate level of guidance and direction.Ability to partner within and across departments to remove blocks and achieve results.Additional Minimum Requirements for Machine Learning Scientist Sr. IAdvanced SQL or SQL-like and Python coding skills.Ability to use novel techniques to solve challenging business problems.Demonstrates in-depth familiarity with at least two domains of data.Demonstrated ability to work with large datasets in a distributed computing environment.Demonstrates independent judgment in selecting methods and techniques for delivering results.Demonstrates expert-level technical skills in ML models and algorithms, and ensures technical quality of models and algorithms developed by others.Able to partner with business stakeholders on ill-defined or improperly defined goals, extract underlying needs, and develop a discovery plan.Able to quickly research and evaluate possible solutions to complex business problems.Able to lead projects or sub-projects within a broader product.Able to influence strategy and prioritization within their area(s).Able to assist and mentor less-experienced data scientists.Able to develop project plans.Normally receives little instruction on day-to-day work, general instructions on new assignments.Additional Minimum Requirements for Machine Learning Scientist Sr. IIAble to identify common patterns, and develop common tools and patterns to facilitate rapid experimentation, modeling, and development.Broad and comprehensive, but also technically-deep awareness of data science & machine learning advancements in the field.Demonstrated ability to influence strategy and prioritization.Ability to design online experiments and assessment methods.Experience advocating for AI/ML and developing a data-driven culture at an organization.Ability to develop training/workshop materials.Ability to communicate effectively across a large organization.Demonstrated track record of contributions to the field, e.g., through publications, blog posts, or patents.Normally to be proficient in the competencies listed above:Machine Learning Scientist I would have a degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and 0-3 years of related work experience, or equivalent combination of education and experience.Machine Learning Scientist II would have a degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and typically requires 4 years of related work experience. Equivalent combination of education and experience will be considered.Machine Learning Scientist Sr I would have a degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and typically requires at least 7 years of related work experience. Equivalent combination of education and experience will be considered.Machine Learning Scientist Sr II would have a degree (masters or PhD preferred) in a strongly a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and typically at least 12 years of related work experience. Equivalent combination of education and experience will be considered.Work EnvironmentWork primarily performed in an office environment and working from home may be considered. Travel may be required, locally or out of state. May be required to work overtime and outside of normal hours.The expected hiring range for a MLS I is $109,700 - $148,400, for a MLS II is $119,900 - $162,200, for a Sr MLS I is $145,400 - $196,700 and for a Sr MLS II is $176,000 - $238,100 depending on skills, experience, education, and training; relevant licensure / certifications; performance history; and work location. The bonus target for a MLS I and MLS II is 15% & the bonus target for a Sr MLS I and Sr MLS II is 20%. The current full salary range for this role is $103,000 - $168,000 for MLS I, is $112,000 - $184,000 for MLS II, is $126,000 - $223,00 for Sr MLS I, and is $165,000 - $270,000 for Sr MLS II.Base pay is just part of the compensation package at Cambia that is supplemented with an exceptional 401(k) match, bonus opportunity and other benefits. In keeping with our Cause and vision, we offer comprehensive well-being programs and benefits, which we periodically update to stay current. Some highlights:medical, dental, and vision coverage for employees and their eligible family membersannual employer contribution to a health savings account ($1,200 or $2,500 depending on medical coverage, prorated based on hire date)paid time off varying by role and tenure in addition to 10 company holidaysup to a 6% company match on employee 401k contributions, with a potential discretionary contribution based on company performance (no vesting period)up to 12 weeks of paid parental time off (eligible day one of employment if within first 12 months following birth or adoption)one-time furniture and equipment allowance for employees working from homeup to $225 in Amazon gift cards for participating in various well-being activities. for a complete list see our External Total Rewards page.We are an Equal Opportunity and Affirmative Action employer dedicated to workforce diversity and a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required.If you need accommodation for any part of the application process because of a medical condition or disability, please email [email protected]. Information about how Cambia Health Solutions collects, uses, and discloses information is available in our Privacy Policy. As a health care company, we are committed to the health of our communities and employees during the COVID-19 pandemic. Please review the policy on our Careers site.

Job DescriptionSummarized Purpose:Conducts multiple ongoing clinical trials involving patients or healthy volunteers/subjects. Completes all paperwork required to capture all data as specified by a study protocol, and for ensuring subject safety, understanding, and cooperation during the study process. Interacts with the research site team and other interdepartmental staff. Engages in the entire site operations process, which includes recruitment, enrollment, and retention of study participants.Essential Functions and Other Job Information:Essential Functions• Conducts clinical studies according to FDA/GCP and ICH regulations and guidelines.• Provides medical care to patients, always ensuring patient safety comes first.• Schedules subject visits within protocol windows, ensuring scheduling capacity is maximized.• Performs all defined study activities (i.e., informed consent, screening, and protocol procedures which include but not limited to vital signs, pregnancy tests, height, weight, ECG's, etc.).• Records all patient information and results from tests as per protocol on required forms.• Where required, may complete IP accountability logs and associated information.• Reports suspected non-compliance to relevant site staff.• Ensures that IRB approval is obtained prior to study initiation and IRB requirements are met throughout the study.• Promotes the company and builds a positive relationship with patients to ensure retention.• Attends site initiation meetings and all other relevant meetings to receive training on protocol.• May be required to call patients, do patient bookings and follow-up calls to confirm bookings or provide information or results.• Logs/completes information on sponsor systems and ensures all information provided is accurate (i.e., case report forms, EDC, etc.) and ensures it is completed within timeframe.• Gathers and maintains source documents, updates patient files and notes, always ensuring relevant and most up to date information is recorded.• Adheres to company COP/SCOP.• May be required to dispose of waste according to standards and assist in keeping a general neat appearance of the facility.Job Complexity: Works on problems of moderate scope where analysis of situations or data requires.Job Knowledge:Developing professional expertise, applies company policies and procedures to resolve a variety of issues.Supervision Received:Normally receives general instructions on routine work, detailed instructions on new projects or assignments. Exercises judgment within defined procedures and practices to determine appropriate action.Business Relationships:Contacts are primarily internal to the company with infrequent external customer /vendor contact on routine matters. Builds productive internal / external working relationships.Qualifications:Education and Experience:Bachelor's degree or equivalent and relevant formal academic / vocational qualification BLS certificate required.Previous experience that provides the knowledge, skills, and abilities to perform the job (comparable to 2+ years').In some cases an equivalency, consisting of a combination of appropriate education, training and/or directly related experience, will be considered sufficient for an individual to meet the requirements of the role.Knowledge, Skills and Abilities:• Solid understanding of the clinical research process (i.e., GCP, SOPs, informed consent, safety monitoring, etc.)• Capable of working independently, analyzing and working with attention to detail, processing andprioritizing sensitive complex information and problem solving• Demonstrated ability to exercise discretion and sound judgement• Good decision-making, negotiation and influencing skills• Good communication skills and English fluency will be an advantage• Good organizational skills• Good proficiency in basic computer applications• Good interpersonal skills to work in a team environmentManagement Role:No management responsibilityWorking Conditions and Environment:• Work is performed in an office/ laboratory and/or a clinical environment.• Exposure to biological fluids with potential exposure to infectious organisms.• Exposure to electrical office equipment.• Personal protective equipment required such as protective eyewear, garments and gloves.• Occasional travel, may be domestic or international.Physical Requirements:• Ability to work in an upright and /or stationary position for 6-8 hours per day.• Repetitive hand movement of both hands with the ability to make fast, simple, repeated movementsof the fingers, hands, and wrists.• Frequent mobility required.• Occasional crouching, stooping, with frequent bending and twisting of upper body and neck.• Light to moderate lifting and carrying (or otherwise moves) objects including luggage and laptopcomputer with a maximum lift of 15-20 lbs.• Ability to access and use a variety of computer software developed both in-house and off-the-shelf.• Ability to communicate information and ideas so others will understand; with the ability to listen toand understand information and ideas presented through spoken words and sentences.• Frequently interacts with others to obtain or relate information to diverse groups.• Performs a wide range of variable tasks as dictated by variable demands and changing conditionswith little predictability as to the occurrence. Ability to perform under stress. Ability to multi-task.• Regular and consistent attendance.

Title: Senior Data ScientistLocation: Remote (EST)Type/ Duration: Contract (12 month+)Industry: HealthcareThe Senior Data Scientist will be responsible for the development and implementation of predictive modeling algorithms and techniques to solve complex business problems and optimize member experiences.Key Responsibilities:Design and lead predictive modeling projects to address more complex business problems determined by consultation with business partnersPiping and processing massive data-streams in distributed computing environments (e.g Hadoop) to facilitate analysisRecommends appropriate batch and real-time model scoring to drive actionsProvides oversight in development of proprietary algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutionsDevelop advanced visualization of analysis output for business usersPublish results and address constraints/limitations with business partnersProvides actionable insights to output produced to ensure established targets are metDetermines the continuous improvement opportunities of current predictive modeling algorithmsProactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost, and other variablesLead and mentor Data ScientistsQualifications:Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent fieldMasters degree in related field and 3+ years experience in predictive analytics or equivalent fieldAdvanced expertise with software such as Python, R, SAS, SAS Enterprise Miner (or equivalent)Excellent coding skills in Python, SQL, and Bigdata technologiesExperience leading end-to-end data science project implementationExperience managing a small team either through formal or informal reporting relationshipExperience with developing recommendation engines is preferredExperience working in a Healthcare organization or with healthcare data preferred

System Analyst (2, 3) Salt Lake City, UT #112112 **Date:** Apr 24, 2024 **Location:** SALT LAKE CITY, UT, US, 84116 **Company:** PacifiCorp ***** PacifiCorp is seeking customer-centric candidates to grow and sustain our commitment to a culture of customer service excellence, environmental sustainability and diversity, equity and inclusion. **General Purpose** Responsible for maintaining systems and their associated operating systems for computer applications. Conduct analysis, create system specifications, develop, test, and implement operating systems. Utilize existing or new technology in the automation of processes. Evaluate software packages and provide recommendations to management. **Responsibilities of this position include the following:** + Provide operational support of the Mainframe, Windows, or UNIX systems computing environment. Responsibilities include OS and application software installations and upgrades, backup and recovery administration, adding/deleting users and peripheral equipment, troubleshooting system and application issues. + Provide technical guidance for directing and monitoring information systems operations. Implement machine modifications to increase capacity of the system. Compile records and reports concerning production, machine malfunctioning and maintenance. May advise on workflow plans, methods, and procedures analysis. Analyze the results of monitoring the operating system(s) and recommend changes to improve processing and utilization. + Perform all procedures necessary to ensure the safety of information systems assets and to protect systems from intentional or inadvertent access or destruction. Interface with the user community to understand their security needs and implement procedures to accommodate them. Conduct accurate evaluation of the level of security required. + Monitor and respond to complex technical control facility hardware and software problems using a variety of hardware and software testing tools and techniques. Provides primary interface with vendor support service groups or provides internal analysis and support to ensure proper escalation during outages or periods of degraded system performance. + Provide documentation for the support of information technology processes and procedures. + Assist in the research and implementation of system administration software and hardware. + Develop programs to support application and system operations. + Provide technical input to assist in development of project planning. + Perform additional responsibilities as requested or assigned. **In addition to the above, Analyst 3 responsibilities include:** + Perform research and make recommendations for network software and hardware. (25-40%) + Provide technical recommendations for information systems operations network environments. Implement modifications to increase system capacity. Compile records and reports concerning production, machine operations, and maintenance. May advise on workflow plans, methods, and procedures analysis. Analyze the results of performance and systems management software and recommend changes to improve processing and utilization. + Provide guidance and training for less experienced technicians. **Requirements for this position include the following:** + Bachelor’s Degree in Information Systems, Computer Science, or related technical field; or equivalent work experience. (Typically 4 years of additional related, progressive work experience would be needed for candidates applying for this position who do not possess a Bachelor’s degree. A minimum of 2 years additional directly related technical experience is required.) + Three years related experience in Mainframe, Windows or UNIX operating systems support and analysis. + Effective oral and written communication skills. + Effective analytical and problem-solving skills. + Ability to prioritize and handle multiple tasks and projects concurrently. **In addition to the above, the Analyst 3 requirements include:** + Five years related experience in Mainframe, Windows, or UNIX operating systems support and analysis. **Additional Information** Req Id: 112112 Company Code: PacifiCorp Primary Location: SALT LAKE CITY Department: PacifiCorp Corporate Schedule:FT Personnel Subarea: Exempt Hiring Range: $87,600.00 - $118,400 This position is eligible for an annual discretionary performance incentive bonus of up to 12-15% of salary. Benefits: Health care, retirement, paid time off, tuition assistance, paid short-term and long-term disability, paid bereavement leave. For more information, please visit: https://careers.pacificorp.com/content/New-Benefits-Page/?locale=en\_US Employees must be able to perform the essential functions of the position with or without an accommodation. At PacifiCorp, we celebrate diversity, equity and inclusion. PacifiCorp is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, medical condition, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. All offers of employment are contingent upon the successful completion of a background check and drug screening.