Science Salary in State of Washington, USA

DescriptionPolitical Science AdjunctSalary: $5,000 - $6,000 per 5 credit classClassification: Adjunct FacultyDepartment: Social Science and Humanities (SSH)Reports to: Dean of SSHOlympic College is recruiting an adjunct faculty to join the faculty and staff team in the Social Sciences (Survey Course) & Humanities Division. The position will be part-time Political Science faculty, teaching primarily Intro to Political Science and American Government as well as other common-course numbered POLS& classes. This position requires in-person instruction with a daytime availability between the hours of 8:00 AM and 3:15 PM and evenings as required from 5:00 PM to 7:15 PM.Olympic College Olympic College seeks faculty who are dedicated to student-centered learning and to fostering an equitable and inclusive educational environment. A member of the Achieving the Dream Network, the College is committed to advancing excellence by leading with racial equity, in order to maximize student potential across all populations, including racial, ethnic, socioeconomic, sexual identity, gender identity, and differing ability. The ideal candidate will demonstrate a track record of employing culturally-responsive pedagogy, utilizing disaggregated data to guide instruction and teaching and mentoring minoritized student populations. Olympic College enrolls a racially and socioeconomically diverse student body of approximately 10,500 students annually. A comprehensive community college, we offer instruction in Basic Studies to include awarding a high school diploma, GED preparation, and English to Speakers of Other Languages; academic transfer and workforce education degrees and certificates; four applied baccalaureate degrees, and community education in our two-county region. Essential FunctionsTeach evening, distance, and in-person classes on the Poulsbo, Shelton, and Bremerton campuses when requestedProvide quality teaching, including related preparation, grading, and record keeping.Provide class syllabi to students enrolled in classes by the first day of classes and to the division office as requested.Identify individual learning needs of students and make appropriate adjustments in learning environments and activities to meet those needs.Punctually communicate with students, faculty, staff, and administrators.Perform other related duties as assigned and/or required.QualificationsMinimum QualificationsMaster's degree in Political Science or a directly related area from an accredited college or universityTeaching experienceMust be available to teach during the dayDesired QualificationsPhD in Political ScienceCollege teaching experienceSuccessful Applicants WillDeliver instructional course content with excitement and enthusiasm.Use a variety of methods and modes of instruction to ensure student success.Demonstrate a commitment to teaching students with little or no background, as well as the experienced student desiring to further their careers.Utilize a variety of assessment activities to evaluate student learning and achievement.Demonstrate success working with individuals and groups representing a wide range of diverse cultural and socio-economic backgrounds as well as military veterans.Demonstrate ability to remain current in Political Science trends, especially with regard to theories and changing terminology.Support diversity in higher education through the application of culturally responsive teaching pedagogies and the use of diverse resources/voices, as well as by contributing through actions.Foster a climate of multicultural understanding and appreciation.Demonstrate an understanding of and commitment to the Olympic College mission, diversity, and a learning-centered climate.Demonstrate success incorporating accessibility and special needs accommodations via course materials and classroom activities.Communicate effectively both orally and in writing in the classroom and with other professionals to maintain effective and positive working relationships.Collaborate successfully with faculty, staff, and students as part of an educational team.Incorporate the use of technology in the delivery of course content and services, including the use of the College-approved learning management system.Uphold Olympic College's values and ethics necessary to maintain a positive climate.Additional InformationTerms of EmploymentFaculty members must submit official, unopened transcripts to the Human Resources department within 30 days of their employment.This is an adjunct faculty position contracted on a quarterly basis. Placement on the faculty salary schedule will be commensurate with educational background and experience. The salary listed is a range based on per quarter. A collective bargaining agreement exists, and this position is covered by the Association for Higher Education (AHE). Flexibility is required to meet the needs of the department. Evening and/or weekend classes, instruction at satellite Olympic College campuses, and off-campus assignments including travel to clinical sites may be a part of the instructional load. Adjunct positions at the college are open continuously and reviewed on a quarter-by-quarter basis. Individuals who apply to the applicant pool are considered active for a period of 12 months from the application date and may be contacted when vacancies occur. Applying does not guarantee that a position will be available or offered. Adjuncts are not eligible for benefits upon their initial hire, Adjunct faculty must work 50 percent of a full-time load for two consecutive quarters to become eligible. Additional hours earned at other SBCTC colleges may count towards this requirement. The list of benefits that may be available after is as follows. Deferred Compensation Program (DRS) retirement savings plan; TIAA supplemental retirement savings plan, sick leave, Aflac, space available tuition waiver, Employee Assistance Program (EAP), fitness center, reduced rate and priority consideration on-site childcare on a space available. For more information regarding benefits, please visit our website here. Conditions of Employment Prior to a new hire, a background check including criminal record history will be conducted. Information from the background check will not necessarily preclude employment but will be considered in determining the applicant's suitability and competence to perform in the position. In addition to the background check, candidates will be required to complete the Sexual Misconduct Disclosure Form as required WB HB 2327. Olympic College seeks candidates for employment who share our commitment to fostering an equitable and inclusive learning environment (read our Equity Statement). All applicants are required to submit a statement of 500 words or less, describing the value of diversity, equity, and inclusion in the higher education environment and their prior, current, and/or potential contribution(s) to fostering diversity, equity, and inclusion as an employee. How To Apply To be considered for this position a candidate must apply online through the Olympic College website and submit the following required materials: Olympic College Online Application CV/Resume Cover Letter - in your cover letter describe how your experience sets you apart for this position. Unofficial college transcripts. Official transcripts and copies of mandated certifications will be required of the successful candidate. Faculty members must submit official, unopened transcripts to the Human Resources department within 30 days of their employment.Suggested MaterialsSyllabi from recent courses taught.Recent, professional letters of recommendation. EEO Statement Olympic College provides equal opportunity in education and employment and does not discriminate on the basis of race, color, national origin, age, disability, genetic information, sex, sexual orientation, marital status, creed, religion, or status as a veteran of war. Olympic College Provides reasonable accommodations for qualified students, employees, and applicants with disabilities in accordance with the Americans with Disabilities Act and Federal Rehabilitation Act. The following people have been designated to handle inquiries regarding non-discrimination and accommodation policies: Carroll McWhorter, 360-475-7301. This recruitment announcement does not reflect the entire job description and can be changed or modified without notice.

DESCRIPTIONAre you a Masters or PhD student interested in machine learning, natural language processing, computer vision, automated reasoning, or robotics? We are looking for skilled scientists capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems.A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists use our working backwards method to enrich the way we live and work.To ensure a great internship experience, please keep these things in mind. This is a full time internship and requires an individual to work 40 hours a week for the duration of the internship. Amazon requires an intern to be located where their assigned team is. Amazon is happy to provide relocation and housing assistance if you are located 50 miles or further from the office location.For more information on the Amazon Science community please visit https://www.amazon.science.We are open to hiring candidates to work out of one of the following locations:Arlington, WA, USA | Bellevue, WA, USA | Boston, MA, USA | New York, NY, USA | Oceanside, CA, USA | Palo Alto, CA, USA | Quincy, MA, USA | San Diego, CA, USA | Santa Clarita, CA, USA | Seattle, WA, USABASIC QUALIFICATIONS• Enrolled in a Master’s degree or equivalent in computer science, machine learning, engineering, or related fields.• Experience in designing experiments and statistical analysis of results.• Experience in understanding and ability to implement algorithms using both toolkits and self-developed code.• Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or similar scripting language.PREFERRED QUALIFICATIONS• Enrolled in a Ph.D. degree in computer science, machine learning, engineering, or related fields.• Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members.• Publication(s) at peer-reviewed conferences or journals.• Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.Amazon has science internships located in but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA.Pursuant to the Los Angeles and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $55.34/hr in our lowest geographic market up to $102.31/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Data Science Fellowship The Policy & Economics Division of the Association of American Railroads is inviting applications for the Data Science Fellowship for the year 2024-2025. This fellowship offers graduate students or experienced professionals a unique opportunity to cultivate and apply data management skills to support various projects within the railroad industry. The initiative aims to enhance participants professional growth while contributing to AARs ongoing data modernization endeavors. About the Fellowship: This opportunity provides a unique platform to apply your database management skills to address real-world challenges faced by our rail industry members while contributing to enhancing the efficiency of the services we provide to our valued members. The fellowship offers data enthusiasts a chance to contribute significantly to developing workflows and tools for supporting various projects across the railroad industry and its regulatory landscape. The project focuses on data migration and workflow automation, directly impacting our freight railroad members. Fellows will play a pivotal role in driving key data transformation and enterprise design initiatives within the division, primarily focusing on streamlining the extraction of data from various source systems and transforming it into a format suitable for analysis. The selected candidate will collaborate closely with industry experts and economists to understand data relationships and develop strategies for efficient data extraction, transformation, and loading. Your primary responsibilities will involve leading the development of processes to transfer unstructured data from various sources to an Azure Database, enabling better accessibility and scalability. Furthermore, you will apply your expertise to write code for workflow automation, specifically focusing on automating our report generation process. Moreover, fellows will be tasked with writing and optimizing SQL queries for efficient data retrieval and manipulation, as well as assisting in the development, testing, and maintenance of data pipelines. Key Details: Part-time appointment for six months.Stipend commensurate with experience.Mentorship and career support provided.

JOB PURPOSEThe department of Electrical Engineering and Computing Sciences at RIT Dubai is seeking applications from exceptional candidates for a fulltime faculty position at the assistant or associate professor rank in Computing Centered Computing. Responsibilities include teaching and education activities, development of courses and laboratories, advising undergraduate and graduate students, supervising students in their capstones or theses, participation in committee works, and engaging in research, scholarly work, and professional service activities. Faculty on sabbatical are also encouraged to apply.The selected candidate is expected to start on August 26, 2024 in Dubai.REQUIRED QUALIFICATIONS:PhD degree from an accredited institution in Information Technology or a closely related field with a concentrated coursework in computing centered computing.A previous teaching experience with the ability to teach courses in the broad area of Human Centered Computing including designing the user experience, information requirements modelling,and prototyping and usability testing.A strong research portfolio with a preference to applied research in collaboration with the industry. Excellent communication skills.APPLICATION PROCEDURE:Please email your application to [email protected] and include the followings in your application:Subject line must include your name and the position you are applying forCover letter detailing your technical/professional, teaching, and scholarship qualifications and achievementsResume or curriculum vitaeNames, addresses and phone numbers of three referencesContact informationApplications review will begin immediately and continue until a candidate is selected. Only shortlisted candidates will be contacted. For more information please visit RIT Dubai website at www.dubai.rit.edu.recblid pz3n9ed45g4jtwft6wbqkj0tobaqtg

DESCRIPTIONThe People eXperience and Technology (PXT) Central Science Team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms, process improvements and products, which simultaneously improve Amazon and the lives, wellbeing, and the value of work of Amazonians. We are an interdisciplinary team which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We invest in innovation and rapid prototyping of scientific models, AI/ML technologies and software solutions to accelerate informed, accurate, and reliable decision backed by science and data.Key job responsibilitiesyou will collaborate with economists, academic scholars, machine learning scientists, SDEs and business line customers across the company to define and deliver on business value and employee experience. A successful candidate will have a passion for innovation, interest in cutting-edge science, and excitement about working in a high-impact domain.You will:• Define and drive the multi-year vision for the product portfolio and the team• Lead strategic planning to achieve technical and business goals.• Deliver long-lasting foundational systematic solutions that pave the way for effective Science.• Work with leaders across science, tech, product/program management, corporate and operations to identify and manage new and existing opportunities, initiatives and processes.• Deliver 3YP, Vision, PRFAQS, and BRD docs.• Own end-to-end product lifecycle.• Influence priorities and business strategy through quantitative and qualitative contributions.• Interact directly with stakeholders and users to continuously improve products and programs.• Define clear goals and objectives for the business in the planning and execution space while identifying risks and strategizing mitigation plans.• Mentor other product managersA day in the lifeAs Amazon PXT Central Science continues to expand in depth and breadth, the Principal Product Manager will be at the center of defining the vision and requirements for products that are efficient, relevant, and scalable to the business and deliver impactful science models to enable business leaders with actionable insights. Principal Product Manager will closely partner with Executive Leadership, Business Leaders, Software Developers, Scientists, Business Intelligence Engineers, Data Engineers, Product/Program Managers and internal users/customers.About the teamOur team builds distributed, performant, and highly available systems that enable Scientists to develop and deploy machine learning (ML) and econometrics models at scale. We own products including data lakes, ML tools, Data Management tools, analytic tools, web applications, and software solutions integrated with other Amazon systems. We engage in ML model engineering in collaboration with the Scientists to develop ML models for various areas like Attrition, Health, Safety, Comp, etc.We are open to hiring candidates to work out of one of the following locations:Arlington, VA, USA | Seattle, WA, USA | Sunnyvale, CA, USABASIC QUALIFICATIONS- Bachelor's degree- Experience owning/driving roadmap strategy and definition- Experience with feature delivery and tradeoffs of a product- Experience technical product managementPREFERRED QUALIFICATIONS- Experience working directly with Engineers on product enhancements- Experience in project management methodologies, business analysis, or process improvementAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $144,000/year in our lowest geographic market up to $279,900/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

DESCRIPTIONThe Data Science Manager will be a key leadership member the Credit team in Amazon Business Payments and Lending. This leader will lead the science team developing best-in-class underwriting systems. This role presents a significant intellectual, technical, and operational challenge with enormous opportunity for business impact. Amazon is dedicated to building credit/lending services that help small, medium, and large businesses worldwide. We believe we are in a unique position to serve our customers with exceptional value due to our deep understanding and insight into our base coupled with rigorous scientific approach and customer-focused emphasis to building financial products. This leader will be passionate about enabling the growth of small, medium, and large businesses and other to-be-launched segments by removing a critical barrier to deepening their activity on Amazon – access to capital.This leader will demonstrate high judgment and deep business experience across economic cycles. They will bring proven ability to identify and recommend data-driven solutions, navigating through complex financial and regulatory issues across geographies. This role is highly strategic and will interact with all levels across a broad range of teams and leaders across Amazon. This leader will need to work with our business and product management partners to communicate the properties of their team’s analysis/modeling. This leader owns the multi-year research agenda and prioritization for the team, and ensure that projects meaningful drive results. Key job responsibilities· Lead, mentor, and develop a top-performing data science team· Apply advanced analytics and ML techniques to support Credit Management processes· Source, incorporate, and analyze alternative credit data to drive innovation· Own data science team roadmap, balance multiple projects efficiently and achieve goals in a fast-paced, dynamic environment· Collaborate effectively with Credit Strategy, operation, product teams, and senior management at ABPL to underwrite new customers and manage portfolio risk· Enhance operating efficiencies and excellence, ensure high performant credit management science models · Promote a culture of transparency, integrity, and ethical use of data.We are open to hiring candidates to work out of one of the following locations:New York, NY, USA | Seattle, WA, USABASIC QUALIFICATIONS- Masters degree in a quantitative field (Statistics, Mathematics, Computer Science, Machine Learning or equivalent)- 7+ years experience in a data science role, applying ML to solve complex problems for large-scale applications; 3+ years experience in leadership role managing Machine Learning Scientists- 5+ years experience in credit underwriting or related work in financial services domain- Superior analytical skills. Demonstrated ability to identify and solve ambiguous problems- Demonstrated attention to detail and desire to roll up your sleeves- Demonstrated ability to operate both strategically and tactically in a high-energy, fast-paced environment. High degree of organization and ability to manage multiple, competing priorities.- Experience hiring and leading experienced scientists as well as a successful record of developing junior members from academia/industry to a successful career track- Excellent communication (verbal and written) and collaboration skills that enable you to earn trust at all levels- Proficiency in Python, SQL, or other programming languagePREFERRED QUALIFICATIONS- PhD in a quantitative field (Statistics, Mathematics, Computer Science, or equivalent from a top-tier institution)- 10+ years of practical experience applying ML to solve complex problems ; 5+ years experience managing Machine Learning Scientists- 8+ years experience in credit underwriting or related work in financial services domain; experience with B2B/commercial credit management is a plus- Project management experience for working on cross-functional projects- Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated in production systems- Experience developing machine learning solutions with AWS- Experience with big data platforms like Hadoop or Spark, and machine learning frameworks like TensorFlor or PytorchAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $140,100/year in our lowest geographic market up to $272,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

CarMax, the way your career should be!About this Job:It's an exciting time at CarMax! After decades of success and a rise to becoming the largest used car retailer in the US, CarMax is focused on disrupting the auto industry once again through our transformation to a leading omni-channel retailer. To achieve this goal, CarMax has spent the last few years investing heavily in modernizing our digital and analytical infrastructure to support our customer-centric experience as the customer shopping journey continues to evolve online. We're stitching data science throughout our business to drive a great customer experience and optimize our operations.As a Data Science Sr. Manager at CarMax, you'll apply your passion and expertise in data, machine learning, and entrepreneurship to create data-science applications that enrich CarMax's culture of innovation. You will be a leader in the analytic community - advancing the use of data science in high impact areas of our business.With millions of customer interactions every day, you'll be tapping the industry's best data to develop new algorithms and capabilities to enhance how Customers navigate their car buying journey, and to optimize Associate impact in the process.The Data Science Sr. Manager will serve as a technical team lead, working with the team in a hands-on-capacity to:Build and enhance predictive Customer Progression models:Employ a deep command of data science modeling techniques and statistics, leveraging a variety of technologies, programming languages, and cloud computing platformsApply expertise in model design, training, evaluation, validation, implementation, and monitoringUnlock insights by analyzing large amounts of complex proprietary customer, website, and transactional data, alongside external dataDevelop an acute understanding of our data, how to access it, analyze it, and monitor itAssist the team in designing controlled experiments to assess the value of new applicationsPartner with cross-functional teams -- eg Product, Operations, Strategy, Data Engineering, to:Create new use cases for data-powered productsDevelop and implement tools that enhance the Customer Experience and the Associate ExperienceDevelop sound data and modeling infrastructureCommunicate with all levels throughout the organization to understand the business opportunities, explain the models, and influence changeHelp prioritize and manage team projectsGrow and develop the team: delivering high quality analytics, promoting best practices, and fostering technical and professional developmentQualifications and Requirements:To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functionsAdvanced Degree (Master's/Ph.D.) in quantitative discipline (Statistics, Math, Data Science, Computer Science, Engineering)Strong analytical curiosity and passion for applying advanced modeling techniques in problem solving4+ years of experience in the following areas:Python and other languages appropriate for large scale analysis of numerical and textual dataData mining, machine learning, statistical modeling tools and underlying algorithmsData Lake and cloud computing fundamentals, Relational databases, SQLSound analytical thinker with a proven track record of providing actionable insights and clear strategic directionAbility to convey complex, technical subject matter in a clear and straightforward manner; demonstrated ability to effectively communicate through written and oral presentations with all levels of the organizationSolid project management skills with the ability to juggle multiple priorities simultaneously in a fast-paced environmentAbility to train, mentor, and develop othersWork Location and Arrangement: Work location is flexible if within 100 miles of the Richmond, VA Technology Innovation Center or Dallas Technology Hub or Atlanta, GA CarMax Auto Finance Office if approved by the Company.Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. About CarMaxCarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation's largest retailer of used cars, with over 200 locations nationwide.Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.

CarMax, the way your career should be!About this Job:It's an exciting time at CarMax! After decades of success and a rise to becoming the largest used car retailer in the US, CarMax is focused on disrupting the auto industry once again through our transformation to a leading omni-channel retailer. To achieve this goal, CarMax has spent the last few years investing heavily in modernizing our digital and analytical infrastructure to support our customer-centric experience as the customer shopping journey continues to evolve online. We're stitching data science throughout our business to drive a great customer experience and optimize our operations.As a Data Science Sr. Manager at CarMax, you'll apply your passion and expertise in data, machine learning, and entrepreneurship to create data-science applications that enrich CarMax's culture of innovation. You will be a leader in the analytic community - advancing the use of data science in high impact areas of our business.With millions of customer interactions every day, you'll be tapping the industry's best data to develop new algorithms and capabilities to enhance how Customers navigate their car buying journey, and to optimize Associate impact in the process.The Data Science Sr. Manager will serve as a technical team lead, working with the team in a hands-on-capacity to:Build and enhance predictive Customer Progression models:Employ a deep command of data science modeling techniques and statistics, leveraging a variety of technologies, programming languages, and cloud computing platformsApply expertise in model design, training, evaluation, validation, implementation, and monitoringUnlock insights by analyzing large amounts of complex proprietary customer, website, and transactional data, alongside external dataDevelop an acute understanding of our data, how to access it, analyze it, and monitor itAssist the team in designing controlled experiments to assess the value of new applicationsPartner with cross-functional teams -- eg Product, Operations, Strategy, Data Engineering, to:Create new use cases for data-powered productsDevelop and implement tools that enhance the Customer Experience and the Associate ExperienceDevelop sound data and modeling infrastructureCommunicate with all levels throughout the organization to understand the business opportunities, explain the models, and influence changeHelp prioritize and manage team projectsGrow and develop the team: delivering high quality analytics, promoting best practices, and fostering technical and professional developmentQualifications and Requirements:To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functionsAdvanced Degree (Master's/Ph.D.) in quantitative discipline (Statistics, Math, Data Science, Computer Science, Engineering)Strong analytical curiosity and passion for applying advanced modeling techniques in problem solving4+ years of experience in the following areas:Python and other languages appropriate for large scale analysis of numerical and textual dataData mining, machine learning, statistical modeling tools and underlying algorithmsData Lake and cloud computing fundamentals, Relational databases, SQLSound analytical thinker with a proven track record of providing actionable insights and clear strategic directionAbility to convey complex, technical subject matter in a clear and straightforward manner; demonstrated ability to effectively communicate through written and oral presentations with all levels of the organizationSolid project management skills with the ability to juggle multiple priorities simultaneously in a fast-paced environmentAbility to train, mentor, and develop othersWork Location and Arrangement: Work location is flexible if within 100 miles of the Richmond, VA Technology Innovation Center or Dallas Technology Hub or Atlanta, GA CarMax Auto Finance Office if approved by the Company.Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. About CarMaxCarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation's largest retailer of used cars, with over 200 locations nationwide.Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.

Job DescriptionWho We Are Chegg Skills/Thinkful is a new type of school that brings high-growth tech careers to ambitious people everywhere. We provide 1-on-1 learning through our network of industry experts, hiring partners, and online platform to deliver a structured and flexible education to help upskill and reskill the workforce. We offer programs in tech and tech adjacent fields, such as AI, cybersecurity, web development, data science, data analytics, UX design, and project management, as well as power skills and leadership disciplines like sales and frontline management. Job Description We are looking for a Data Analytics and/or Data Science subject matter expert/curriculum writer to join us in creating curriculum content on the topics of Data Analytics and Data Science. In this role, you will work with an Instructional Designer to produce written content for curriculum designs, images, videos, assessments, learning objectives, and other educational content to support student learning. These materials will be used to support our students as they master the core skills of Data Analytics and Data Science. Our Talent Pool Our talent pool is for qualified candidates not necessarily seeking immediate employment however, open to being considered for a position when it becomes available. There is no need to follow-up on your application. Our recruiters will review resumes on a regular basis to determine and notify candidates if their qualifications match the requirements for the role. Responsibilities Consistently deliver content that meets set criteria and is on time to support our program launch roadmap Create new and revised lesson content for the online program curriculum Use AI platforms like ChatGPT to generate content and then review and validate that content for accuracy and relevance Validate and refine the list of objectives, skills, and topics taught in the curriculum Create assets to support lesson plans, student activities, and written curriculum content such as: Formative and summative assessments Individual projects and presentations Video scripts for topic and demonstration videos Visual assets and/or reference images (diagrams, charts) and sample templates as needed Iterate on deliverables based on user and instructional design feedback Requirements 3+ years of hands-on experience in data analytics, data analysis, and/or data science Demonstrated subject matter expert in a variety of areas of data analytics, data analysis, and/or data science Previous experience developing data analytics or data science curriculum materials for adults in topics like: Data analysis, data visualization, statistical analysis Excel and PowerPoint SQL and Tableau Python Common supervised learning models: classification, regression, random forest, similarity models, support vector machines, and boosting models Unsupervised learning models and deep learning models Machine learning Collaborative (e.g., you enjoy partnering with people and have excellent project management skills and follow through) Excellent writing skills (e.g., you can produce high-quality prose as well as high-quality presentations. You have a gift for writing about complicated concepts in a beginner-friendly way, and can appropriately scaffold content for beginners) Comfort with scripting and recording demo videos Capable of remote work. You enjoy collaborating and partnering with people in a remote environment and have excellent project management skills and follow through. Demonstrated experience using Microsoft tools (i.e., Word, PowerPoint, and Excel) Ideally available 20-40 hours per week, but do not hesitate to apply if you have less availability Ideal Skills Experience in Instructional Design Experience with Adult Learning Theories Experience using AI platforms like ChatGPT Experience using project management software like Jira Visual design skills (e.g., you can translate complex ideas or concepts into charts, infographics, diagrams, or video scripts/demos) Editorial experience and skills Compensation and Benefits Compensation range between $40-$120/hour. Final rate will be determined at hire, and will depend on many factors, including program domain, market demand, expertise, location, etc. Contract position with a collaborative team Ability to work remotely with flexible hours Why do we exist?Students are working harder than ever before to stabilize their future. Our recent research study called State of the Student shows that nearly 3 out of 4 students are working to support themselves through college and 1 in 3 students feel pressure to spend more than they can afford. We founded our business on provided affordable textbook rental options to address these issues. Since then, we've expanded our offerings to supplement many facets of higher educational learning through Chegg Study, Chegg Math, Chegg Writing, Chegg Internships, Thinkful Online Learning, and more to support students beyond their college experience. These offerings lower financial concerns for students by modernizing their learning experience. We exist so students everywhere have a smarter, faster, more affordable way to student.Video ShortsLife at Chegg: http://youtu.be/Fwf90zgaOLACertified Great Place to Work!: http://reviews.greatplacetowork.com/cheggChegg Corporate Career Page: https://jobs.chegg.com/Chegg India: http://www.cheggindia.com/Chegg Israel: http://www.chegg.com/about/working-at-chegg/israel/Thinkful (a Chegg Online Learning Service): https://www.thinkful.com/about/#careersChegg out our culture and benefits!http://www.chegg.com/about/working-at-chegg/benefits/http://techblog.chegg.com/Chegg is an equal opportunity employer

WHY JOIN AGU? Our employees are our most valuable assets! You will feel welcomed and supported from the moment you join our team, and you will take part in strengthening and evolving our workplace culture. We offer work-life balance- We are a remote-first organization, with flexible work hours. In the Summers we work only 4 days a week and we get Fridays off and paid!  It is called SPF 15 WHO WE ARE? The American Geophysical Union (AGU) supports a global community of more than half a million professionals and advocates in the Earth and space sciences.  Through broad and inclusive partnerships, AGU aims to advance discovery and solution science that accelerate knowledge and create solutions that are ethical, unbiased and respectful of communities and their values. Our programs include serving as a scholarly publisher, convening virtual and in-person events, and providing career support. We live our values in everything we do, such as our net-zero energy renovated building in Washington, D.C., and our Ethics and Equity Center, which fosters a diverse and inclusive geoscience community to ensure responsible conduct. This is an exciting time to work at AGU. Every day we approach our work with a sense of purpose, and we look for others who share that passion and desire for a career with impact.  WHO YOU ARE? At AGU we are looking for individuals who want to learn something new every day, who welcome a challenge, and are motivated to achieve results in a fast-paced environment. You will be a proactive and creative problem solver who enjoys collaborating across diverse teams. AGU’s strategic communications and marketing (SCM) program advances AGU’s global reputation as an authoritative voice for the Earth and space sciences. AGU media relations supports these goals with timely outreach to journalists about breaking research from AGU’s scientific meetings and 24 peer-reviewed journals, covering topics as diverse as public health, climate change, earthquakes, Earth’s history and the potential for life on our solar system’s distant, icy moons. You will learn to identify newsworthy papers published in scientific journals and presented at scientific meetings and craft succinct, accurate and compelling press releases, short news stories and social media posts. You will gain practical experience interviewing and writing about Earth and space science for non-expert audiences and working collaboratively with a creative team. You will leave the internship with bylined news stories, press releases and multimedia projects for your portfolio. WHAT YOU WILL DO? Work with the media relations team to identify and pitch newsworthy stories about new research published in AGU’s peer-reviewed journals. Interview researchers about their work and write news-style press releases and research spotlights under deadline. Craft headlines and brief descriptions of new research for AGU’s weekly highlights newsletter for journalists. Meet daily with media relations staff, prepare materials as requested and respond to editing. Use and explore social media and multimedia to communicate scientific discoveries to broad audiences. Assist in preparing scientists for interviews and organizing live press events. WHAT YOU WILL BRING? Enthusiasm for science as well as learning a variety of communications skills. A bachelor’s degree or higher in journalism, communications or Earth and space science. Coursework or equivalent experience in news-style writing about science for a lay audience. Familiarity with AP style. Experience managing multiple projects or assignments on deadline. Professional attitude and interpersonal skills. Proficiency with Microsoft Office Suite (Word, PowerPoint, Excel and Teams) internet browsers, and web search engines. Experience with social media preferred but not required. HIRING SPECIFICS We understand that it is unrealistic for candidates to fulfill 100% of the criteria listed in a job posting. However, we encourage you to apply if you meet the majority of the requirements because we know that skills evolve. If you are willing to learn and evolve alongside us, join our team. To Apply: Please submit RESUME along with two news writing samples. Finalists will be asked to read the abstracts from three Earth and space research papers and come to the interview prepared to pitch one research finding for a press release, including headline, and target audience. Pay $17 per hour. Full Time/ Hourly Non-Exempt, 6-month Internship, approximate time frame June to December 2024. Remote work from many US States. We are not hiring in WA, OR and CA at this time. AGU will make reasonable accommodations in compliance with the Americans with Disabilities Act of 1990. Work Authorization: We will not sponsor applicants for work visas in the US. AGU is an Equal Opportunity/Affirmative Action employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply. EOE/M/F/Vet/Disabled