Science Salary in Irvine, CA

Microbiologist Sterility Assurance Consider joining Eurofins Lancaster Laboratories where people are the most important element in our chemistry. Celebrating 50 years of service, Eurofins is a leading contract lab providing testing and research services in the environmental, pharmaceutical, and biopharmaceutical sciences to clients worldwide. Eurofins Lancaster Laboratories, a nationally recognized laboratory, is searching for a Microbiologist Sterility Assurance Scientist to support our Professional Scientific Services group in Irvine, CA. Employee Responsibilities: Develop project plans, conduct studies to qualify critical systems, establish sterilization levels and system validation for sterility, antimicrobial and environmental controls including evaluating and updating microbial protocols Compose protocols for sterilization or system validation/ sterility and antimicrobial controls; monitor and recommend controls for manufacturing environments, systems, and sterilization processes Performs sterility testing utilizing Bac-T Alert Identify complex testing approaches to perform microbiological testing, investigations, isolation and identification using FDA and USP guidelines Develop complex protocols, reports, and methods in collaboration with inter-departmental teams Collect birth tissue samples for studies concerning optimal lot size for sterility sampling Lead lab and manufacturing corrective and preventative actions (CAPA) testing Train, coach, and guide lower level employees on new procedures, assess work techniques and provide feedback on procedures Set parameters of complex laboratory machines applying microbiology knowledge and concepts to perform receiving inspection, raw materials, environmental control testing, in-process solutions, and final product release testing Lead process improvement projects and propose recommendations for manager approval Interpret data, perform trend analysis, and define qualification strategies for new or modified devices and/or processes Make recommendations and validate new laboratory equipment Performs other related duties as assigned or requested Generate final reports for sterility of GMP products The Ideal Candidate would possess: Knowledge of cGMP Excellent communication (oral and written) and attention to detail Excellent oral and written communication skills as well as strong computer Must be organized, self-motivated, and capable of working independently or in a collaborative environment Minimum Qualifications: Bachelor's degree or Master's degree in Microbiology, Biology, or other related biotechnology field 1 - 2 years of industry or academic research experience Authorization to work in the United States indefinitely without restriction or sponsorship What we offer: Excellent full time benefits including comprehensive medical coverage, dental, and vision options Life and disability insurance 401(k) with company match Paid vacation and holidays Position is full-time, Monday-Friday, 9 a.m.-5 p.m., with overtime as needed. Candidates currently living within a commutable distance of Irvine, California are encouraged to apply. Eurofins Lancaster Laboratories Professional Scientific Services ® (PSS) is a global, award-winning insourcing solution that places our people at our clients' site dedicated to running and managing laboratory services while eliminating headcount, co-employment and project-management worries. We infuse our 55-year track record of scientific and laboratory operations expertise, as well as HR and great place to work best practices, to recruit, hire, train and manage highly qualified scientists to perform laboratory services using our client's quality systems and equipment. Eurofins is a M/F, Disabled, and Veteran Equal Employment Opportunity and Affirmative Action employer.

DESCRIPTIONThe Campaign Measurement & Optimization (CMO) organization is looking for a Principal Research Scientist interested in solving one of the most challenging business problems in marketing measurement, a thought leader with deep expertise in modeling, and scaling measurement science. Working with our team of data scientists, applied scientists, research scientists, and economists, this leader will help redefine marketing measurement at Amazon and its subsidiaries.The Campaign Measurement & Optimization (CMO) organization’s mission is to be the most trusted source of measurement science solutions to drive marketing investment decisions across Amazon. The CMO team provides incrementality and efficiency measurement services to the marketing stakeholders across Amazon’s lines of business, including Stores, Prime Video, Amazon Devices, Alexa, Amazon Business, Amazon Music, Amazon Fresh, as well as subsidiaries including Audible, Ring, Whole Foods, and more. CMO applies industry leading deep learning based causal inference models to measure omni-channel effectiveness of marketing campaigns from these businesses worldwide. The impact and influence of the organization is tremendous, helping optimize spend decisions on a scale that exceeds many countries’ GDP. Our outputs shape Amazon product and marketing teams’ decisions and therefore how Amazon customers see, use, and value their experience with Amazon.This is a high-impact role with opportunities to develop systems and analyze marketing effectiveness that contributes billions of dollars to the business. As a lead research scientist in the team, you will be responsible for designing and developing cutting edge measurement and optimization models, while collaborating with businesses, marketers, and software teams to solve key challenges facing the teams. Such challenges include measuring the incremental impact of multi-channel marketing portfolios, developing Deep Learning models for estimating the impact on sparse customer actions, and scaling measurement solutions for WW marketplaces. Unlike many companies who buy existing off-the-shelf marketing measurement systems, we are responsible for studying, designing, and building systems to serve Amazon’s suite of businesses. Our team members have an opportunity to be on the forefront of marketing measurement thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, research scientists, economists and software developers in the business.In this role, you will be a technical leader in Marketing science research with significant scope, impact, and high visibility. You will champion cutting edge ML models using the latest in Deep Learning, and Transformers. You will lead strategic measurement science initiatives in CMO and across various marketing teams, scaling experimentation and measurement science models, real-time inference, and cross-channel orchestration. As a successful scientist, you are an analytical problem solver who enjoys diving into data, leads development of new frameworks, is excited about investigations and algorithms, and can credibly interface between technical teams and business stakeholders. You are an expert in employing deep learning models to solve business problems, preferably in causal inference. You are a hands-on innovator who can contribute to advancing Marketing measurement technology in a B2C and B2B environment, and push the limits on what’s scientifically possible with a razor sharp focus on measurable customer and business impact. You will coach and guide junior scientists to grow the team’s talent and scale the impact of your work.We are open to hiring candidates to work out of one of the following locations:Irvine, CA, USA | Seattle, WA, USA | Sunnyvale, CA, USABASIC QUALIFICATIONS- Master's degree in Mathematics, Statistics, Machine Learning, or a related quantitative field- 7+ years of experience of designing and delivering highly efficient and effective AI/ML powered technical solutions that solve organizational business problems at scale- Expert in designing and supporting large-scale measurement and optimization systems in a production environment- Extensive experience applying theoretical models in an applied environment- Demonstrated proficiency in deep learning models, experience building production level systems for causal inference- Expert in more than one more major programming / scripting languages (Python, Scala, PySpark or similar)- Solid doc writing skills- Excellent written and verbal communication skills while addressing both technical and business people; ability to speak at a level appropriate for the audience. The ideal candidate should be able to present business cases, and document models, analyses, and results to influence important decisions- Experience coaching and reviewing work of junior ML ScientistsPREFERRED QUALIFICATIONS- PhD in Mathematics, Statistics, Machine Learning, or a related quantitative field- 10+ years of experience in marketing measurement science and content ranking AI/ML- Experience with Generative AI, large scale distributed systems- Independent thinker and influencer on strategic decisions- Comprehension of tech stacks and could stay on top of tactical execution- Strong publication record in one of the following technical topics: recommender system, optimization, reinforcement learning, time series, natural language processing, experiment system design- Functional knowledge of AWS platforms such as S3, Glue, Athena, Sagemaker- Strong fundamentals in problem solving, algorithm design and complexity analysisAmazon 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 $151,500/year in our lowest geographic market up to $294,700/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 Campaign Measurement & Optimization (CMO) organization is looking for a Applied Science Manager interested in solving one of the most challenging business problems in marketing measurement and developing cutting-edge ML model. Working with our team of data scientists, applied scientists, research scientists, and economists, this leader will help redefine marketing measurement at Amazon and its subsidiaries.The Campaign Measurement & Optimization (CMO) organization’s mission is to be the most trusted source of measurement science solutions to drive marketing investment decisions across Amazon. The CMO team provides incrementality and efficiency measurement services to the marketing stakeholders across Amazon’s lines of business, including Stores, Prime Video, Amazon Devices, Alexa, Amazon Business, Amazon Music, Amazon Fresh, as well as subsidiaries including Audible, Ring, Whole Foods, and more. CMO applies industry leading deep learning based causal inference models to measure omni-channel effectiveness of marketing campaigns from these businesses worldwide. The impact and influence of the organization is tremendous, helping optimize spend decisions on a scale that exceeds many countries’ GDP. Our outputs shape Amazon product and marketing teams’ decisions and therefore how Amazon customers see, use, and value their experience with Amazon.This is a high-impact role with opportunities to develop systems and analyze marketing effectiveness that contributes billions of dollars to the business. As a team lead, you will be responsible for developing / coaching the talent, guiding the team on design and development of the cutting edge measurement and optimization models, while collaborating with businesses, marketers, and software teams to solve key challenges facing the teams. Such challenges include measuring the incremental impact of multi-channel marketing portfolios, estimating the impact on sparse customer actions, and scaling measurement solutions for WW marketplaces. Unlike many companies who buy existing off-the-shelf marketing measurement systems, we are responsible for studying, designing, and building systems to serve Amazon’s suite of businesses. Our team members have an opportunity to be on the forefront of marketing measurement thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, research scientists, economists and software developers in the business.In this role, you will be a technical leader in applied science research with significant scope, impact, and high visibility. You will lead strategic measurement science initiatives in CMO and across various marketing teams, scaling experimentation and measurement science models, real-time inference, and cross-channel orchestration. As a successful team lead, you are an analytical problem solver who enjoys diving into data, leads problem solving, guides development of new frameworks, is excited about investigations and algorithms, and can credibly interface between technical teams and business stakeholders. You are an expert in employing deep learning models to solve business problems, preferably in causal inference. You are a hands-on innovator who can contribute to advancing Marketing measurement technology in a B2C and B2B environment, and push the limits on what’s scientifically possible with a razor sharp focus on measurable customer and business impact. You will coach and guide scientists to grow the team’s talent and scale the impact of your work.We are open to hiring candidates to work out of one of the following locations:Irvine, CA, USA | Seattle, WA, USA | Sunnyvale, CA, USABASIC QUALIFICATIONS- 3+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics- Expert in developing large-scale ML systems in a production environment- Extensive experience applying theoretical models in an applied environment- Demonstrated proficiency in deep learning models, experience building production level causal inference models- Expert in more than one more major programming / scripting languages (Python, Scala, PySpark or similar)- Excellent written and verbal communication skills while addressing both technical and business people; ability to speak at a level appropriate for the audience.- Experience coaching and reviewing work of junior ML Scientists, making great hiring decisions.PREFERRED QUALIFICATIONS- Experience building machine learning models or developing algorithms for business application- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers- Team building and science recruiting experience- Comprehension of tech stacks and could stay on top of tactical execution- Strong doc writing skills- Strong fundamentals in problem solving, algorithm design and complexity analysis- Proven track record of delivering ML models in productionAmazon 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 $147,100/year in our lowest geographic market up to $286,000/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 Campaign Measurement & Optimization (CMO) organization is looking for a Applied Scientist interested in solving one of the most challenging business problems in marketing measurement and developing cutting-edge ML model. Working with our team of data scientists, applied scientists, research scientists, and economists, the scientist will design and develop scalable marketing measurement at Amazon and its subsidiaries.The Campaign Measurement & Optimization (CMO) organization’s mission is to be the most trusted source of measurement science solutions to drive marketing investment decisions across Amazon. The CMO team provides incrementality and efficiency measurement services to the marketing stakeholders across Amazon’s lines of business, including Stores, Prime Video, Amazon Devices, Alexa, Amazon Business, Amazon Music, Amazon Fresh, as well as subsidiaries including Audible, Ring, Whole Foods, and more. CMO applies industry leading deep learning based causal inference models to measure omni-channel effectiveness of marketing campaigns from these businesses worldwide. The impact and influence of the organization is tremendous, helping optimize spend decisions on a scale that exceeds many countries’ GDP. Our outputs shape Amazon product and marketing teams’ decisions and therefore how Amazon customers see, use, and value their experience with Amazon.This is a high-impact role with opportunities to develop systems and analyze marketing effectiveness that contributes billions of dollars to the business. As an Applied Scientist, you will be responsible for development and production deployment of the cutting edge measurement and optimization models, while collaborating with businesses, marketers, and software teams to solve key challenges facing the teams. Such challenges include measuring the incremental impact of multi-channel marketing portfolios, estimating the impact on sparse customer actions, and scaling measurement solutions for WW marketplaces. Unlike many companies who buy existing off-the-shelf marketing measurement systems, we are responsible for studying, designing, and building systems to serve Amazon’s suite of businesses. Our team members have an opportunity to be on the forefront of marketing measurement thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, economists and software developers in the business.Key job responsibilitiesIn this role, you will be a technical leader in applied science with significant scope, impact, and high visibility. You will lead strategic Deep Learning based measurement and optimization model development initiatives in CMO and across various marketing teams. You will spearhead the technology decisions to scale the production deployment of the models. You will lead scaling experimentation and rapid prototyping, deployment of the measurement science models, real-time inference, and cross-channel orchestration. As a successful Scientist, you are an analytical problem solver who enjoys diving into data, leads problem solving, guides development of new frameworks, writes production quality code, is excited about investigations and algorithms, and can credibly interface between technical teams and business stakeholders. You are an expert in employing deep learning models to solve business problems, preferably in causal inference. You are a hands-on innovator who can contribute to advancing Marketing measurement technology in a B2C and B2B environment, and push the limits on what’s scientifically possible with a razor sharp focus on measurable customer and business impact. You will closely work with Principals and Amazon Scholars and collaborate with them to scale the impact of your work.We are open to hiring candidates to work out of one of the following locations:Irvine, CA, USA | Seattle, WA, USABASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPREFERRED QUALIFICATIONS- Experience using Unix/Linux- Experience in professional software developmentAmazon 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 $136,000/year in our lowest geographic market up to $222,200/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.

About the Job:GAO Tek has a numerous amount of remote intern/Co-op positions in all educational areas that can be held as part-time from anywhere in the world. Our aim is to provide rewarding experiences to our interns and Co-ops.Job Information:Here at GAO Tek, our Internship/Co-op program is available to all qualified candidates who are undergraduate students, MBA, MA, M.Sc., M. Eng, and other postgraduate students, new graduates looking for experience, work from home and other types of candidates.Job Description:Scan resumes for qualified candidates and contact qualify candidates.Reply to applicant’s emails, screen replies and schedule interviews for senior HR staff.Post job ads on general career websites, university and college career websites, and internship websitesEstablish relationships with universities and colleges who have internship programs.Provide assistance and advice to management team once you are an experience intern here.Conduct interviews and evaluations.Other HR tasks as assigned.Qualifications: Education in one of the following criteria’s: HR, Business, Commerce, Marketing, Education, Journalism, Administration, and any other Business, Arts, or Science program.Requirements:Students who are in any program or new graduates must be: Motivated to learn, open to contributing time and effort, and committed to resulting in quality and productivity. All positions are required to contribute to 20 to 40 hours per week for 3-6 months.Benefits:Upon completion includes 3 certificates: 1 for completion of internship and 2 for the skills learned. Plus, a valuable work experience at a reputable global company. All positions are remote and part time.Employment Type: Unpaid Internship

DESCRIPTIONThe Campaign Measurement & Optimization (CMO) organization is looking for a Senior Applied Scientist interested in solving one of the most challenging business problems in marketing measurement and developing cutting-edge ML model. Working with our team of data scientists, applied scientists, research scientists, and economists, this leader will help redefine scalable marketing measurement at Amazon and its subsidiaries.The Campaign Measurement & Optimization (CMO) organization’s mission is to be the most trusted source of measurement science solutions to drive marketing investment decisions across Amazon. The CMO team provides incrementality and efficiency measurement services to the marketing stakeholders across Amazon’s lines of business, including Stores, Prime Video, Amazon Devices, Alexa, Amazon Business, Amazon Music, Amazon Fresh, as well as subsidiaries including Audible, Ring, Whole Foods, and more. CMO applies industry leading deep learning based causal inference models to measure omni-channel effectiveness of marketing campaigns from these businesses worldwide. The impact and influence of the organization is tremendous, helping optimize spend decisions on a scale that exceeds many countries’ GDP. Our outputs shape Amazon product and marketing teams’ decisions and therefore how Amazon customers see, use, and value their experience with Amazon.This is a high-impact role with opportunities to develop systems and analyze marketing effectiveness that contributes billions of dollars to the business. As a senior scientist, you will be responsible for leading the design and development of the cutting edge measurement and optimization models, while collaborating with businesses, marketers, and software teams to solve key challenges facing the teams. Such challenges include measuring the incremental impact of multi-channel marketing portfolios, estimating the impact on sparse customer actions, and scaling measurement solutions for WW marketplaces. Unlike many companies who buy existing off-the-shelf marketing measurement systems, we are responsible for studying, designing, and building systems to serve Amazon’s suite of businesses. Our team members have an opportunity to be on the forefront of marketing measurement thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, economists and software developers in the business.In this role, you will be a technical leader in applied science research with significant scope, impact, and high visibility. You will lead strategic measurement science initiatives in CMO and across various marketing teams, scaling experimentation and development and deployment of the measurement science models, real-time inference, and cross-channel orchestration. As a successful Scientist, you are an analytical problem solver who enjoys diving into data, leads problem solving, guides development of new frameworks, writes code, is excited about investigations and algorithms, and can credibly interface between technical teams and business stakeholders. You are an expert in employing deep learning models to solve business problems, preferably in causal inference. You are a hands-on innovator who can contribute to advancing Marketing measurement technology in a B2C and B2B environment, and push the limits on what’s scientifically possible with a razor sharp focus on measurable customer and business impact. You will also coach and guide scientists in the team to grow the team’s talent and scale the impact of your work.We are open to hiring candidates to work out of one of the following locations:Irvine, CA, USA | Seattle, WA, USABASIC QUALIFICATIONS- 4+ years of applied research experience- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.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 $136,000/year in our lowest geographic market up to $260,000/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.

It's fun to work in a company where people truly BELIEVE in what they're doing!Ingram Micro is the business behind the world's brands reaching nearly 90 percent of the world's population. Our market reach, diverse solutions portfolio, and digital platform Ingram Micro Xvantage set us apart. We have approximately 27,000 associates committed to serving our more than 161,000 customers and 1,500 vendor partners worldwide. Learn more at www.ingrammicro.com.Ingram Micro has earned Great Place to Work Certification for 2022-2023 in the United States! This prestigious recognition reflects our commitment to our people and our culture.Come join our team where you'll make technology happen in surprising ways. Let's shape tomorrow - it'll be a fun journey!This 2-year New Grad Rotation Program is Hybrid with 3 days a week on-site and begins on July 8, 2024, in our Irvine, California corporate headquarters. Your role: This is a full-time career and a two-year technical rotational program that provides a unique opportunity for comprehensive exposure to Ingram Micro's Global Platform Technology organization, including a total of four rotations (each approximately six months), giving participants a unique blend of technical and leadership development experiences designed to transform top college graduates into our future Global Platform leaders and technologists. At the end of the program, we will work together to select your next role and dream job and help you achieve your long-term goals at Ingram Micro.Embrace change and get a variety of experiences that help you develop professionally with on-the-job learning and mentorship from the brightest minds in the business. Gain real-world experience working on important and challenging projects and a combination of rotational assignments, structured learning, formalized feedback, and mentoring. You will roll out innovative technology products in a multi methodology environment, ensuring efficient e-commerce interactions supporting our digital transformation efforts. Anticipate and deliver innovative, cost-effective solutions for our internal business clients and work on systems that make it easier to do business with our customers and vendors. What you bring to the role: Bachelor's Degree in computer science, engineering, or related field with a strong academic record with a cumulative overall GPA of 3.0 or higher.Recent graduate or soon to graduate prior to July 8, 2024, from an accredited college/university program in Computer Science, or Relevant Science and Math disciplines with a technical/IT emphasis required. Practical work experience through internships with experience in IT is highly preferred, as were seeking individuals with strong analytical and technical skills who are up to date with current industry standards, trending software, and IT development tools.Understanding of Information Technology, Software Engineering, Data Science, and Business Science disciplines required.Keen interest in technology trends and learning new areas of knowledge in technology, digital and eCommerce.Motivated in advancing your career in technology and business.Novice or higher level of software development skills.Have excellent troubleshooting and analytical skills, along with strong written and verbal communication skills.Ability to work independently and in group settings.Creative problem-solving, quick thinking, practical, decision-making skills.Commitment and passion to develop into a cross-functional team member who will make a direct impact on company success.Commitment to completing a 2-year program.Available to start the New Grad Rotation Program on July 8, 2024 (assumes graduated/received diploma before start date).Starting salary for a fresh grad is between $70,000 - $80,000, depending on education level, plus a 5% annual target bonus. Due to the nature of this position, it is not eligible for sponsorship. Ingram Micro believes there is no place in our society for social injustice, discrimination, or racism. As a company we do not - and will not - tolerate these actions. Ingram Micro Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under applicable law. 2024 Rotations Digital Software Engineer: The Digital software Engineering team is responsible for building software that provides one cohesive experience on all Xvantage platforms to our associates, customers, and vendors, reporting up through our Chief Digital Officer. Gurmat Singh Bhatia (Executive Director, Engineering) and Abdul Shariq (Sr. Mgr., Application Development) lead this rotation. In this 6-month rotation you will be contributing towards building cloud native software with real-time data integrations if you have an engineering background or perform a project management activity if you do not have the technical experience and background. Engineering experience/skills - design, development, testing Non-Engineering experience/skills - requirements translation, project management/scrum mastering, functional testingTechnical skills - Programming languages - Java or .Net or Python; Database - SQLServer or PostgreSQL Platform Engineer: The Platform Engineering rotation is in Platform Engineering team, specifically related to our digital platform Ingram Micro Xvantage for Associate (X4A) and reporting up through our Chief Digital Officer. Carmen Quijada (Executive Director, Application Development) leads this rotation. In this 6-month rotation you will perform a technical activity on a project if you have an engineering background or perform a project management activity if you do not have the technical experience and background.Engineering experience/skills - design, development, testingNon-Engineering experience/skills - requirements translation, project management/scrum mastering, functional testing SAP Application Developer: The SAP Application Development rotation is in the Global SAP team, within Information Technology and reporting up through the Chief Information Officer. Oscar Lopez (Dir, SAP Solutions Integration) and Jagath Srinivasan (Sr. Mgr., ERP Applications) lead this rotation. About SAP: is a leading provider of enterprise resource planning (ERP) software and widely used by businesses around the world. As of 2021, 100% of the Fortune 100 companies use at least one of SAP's products.SAP at Ingram Micro: The Ingram Micro SAP organization provides enterprise resource planning (ERP) solutions to help business run more efficiently by automating and streamlining many of our core business processes such as accounting, sales, inventory management, supply chain management, master data governance and subscriptions. The SAP team provide a centralized platform for the business to manage their operations and make data-driven decisions. SAP integrates data from across the organization and provides real-time insights into key performance metrics. This enables businesses to optimize their operations, reduce costs, and improve customer satisfaction.SAP development team at Ingram Micro: As an SAP ABAP developer at Ingram Micro, you will have the opportunity to work on innovative projects, collaborating with a diverse team of experts to deliver innovative solutions that meet the needs of our customers. You will be responsible for developing and customizing software programs that run on our ERP platform. You will work with Ingram's software development tools and technologies to create custom applications, reports, and interfaces that integrate with the core SAP system. You will also maintain and enhance existing applications to ensure they continue to meet business requirements and remain compatible with new versions of SAP's software. US Platform Technology: During your six-month rotation with the US Platform Technology team, you will have the opportunity to work on core engineering products and systems for the US business channel. You will gain hands-on experience in various aspects of the technology group, including project management, product management, software development, quality assurance, and DevOps. You will work side-by-side with engineers, shipping live code on projects and products that are core to Ingram's mission and growth. You will gain exposure to different projects, collaboration, and ways of working, following scrum processes for agile software development.The US Platform Technology team, led by Navish Dadighat (Director, US-PT Application Services), is an internal service organization responsible for delivering all technology-related needs within the US business channel. We support both off-the-shelf and custom-built applications, primarily to support customers and internal operations. We handle several data integrations - internal and external, and data marts for reporting and business intelligence. Our go-to development languages are .Net, JAVA, PHP, and Python, with ReactJS/AngularJS in the front end. We use PostgreSQL and SQL server for databases, and Selenium-based tools for QA. We are actively moving our applications from our on-prem data center to the Google Cloud Platform. This rotation will provide a comprehensive understanding of our operations and an invaluable experience in the technology sector.The typical base pay range for this role across the U.S. is USD $49,500.00 - $79,200.00 per year.The ranges above reflect the potential annual base pay across the U.S. for all roles; the applicable base pay range will depend on the candidate's primary work location, pay grade, and variable compensation plan. Individual base pay within each range depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time of hire. New hires starting base pay generally falls in the bottom half (between the minimum and midpoint) of a pay range.At Ingram Micro certain roles are eligible for additional rewards, including merit increases, annual bonus or sales incentives and long-term incentives. These awards are allocated based on position level and individual performance. U.S.-based employees have access to healthcare benefits, paid time off, parental leave, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others.This is not a complete listing of the job duties. It's a representation of the things you will be doing, and you may not perform all these duties.Please be prepared to pass a drug test and successfully pass a pre-employment (post offer) background check.Ingram Micro believes there is no place in our society for social injustice, discrimination, or racism. As a company we do not - and will not - tolerate these actions.Ingram Micro Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under applicable law.

DESCRIPTIONAmazon Games is looking for a software engineer to join us in creating and extending our studio's "AZoth" game engine for our hit PC title New World and beyond. Our proprietary engine is 100% owned-and-operated exclusively by our team in support of our Amazon Games games and customers.You will be joining a group of talented and passionate technologists who are developing and improving our game engine to meet the ever-growing needs of our player customers, our game developers, and new game ideas. We are looking for natural problem solvers with a passion for gaming, who enjoy working with artists and game designers, enjoys finishing projects in a timely manner, and is a constant advocate for foundational quality of our tools and technology.This is specifically a Tools engineering role. The primary responsibility for this role is developing, extending and supporting the tools that content creators use to build videogame worlds.Key job responsibilitiesYour responsibilities will include:- You will work with other engineers and content creators to develop new engine tools and technology to power games, primarily in C++.- You will own and architect engine level systems and their developer-facing interfaces that scale for large data sets.- You will empower content creators through rapid iteration and creation of tools used in the creation and iteration of large, persistent worlds.- You will assist in developing project plans and commitments, and then deliver consistently against those commitments.- You will lead by example with excellence in execution, collaboration and code reviews.A day in the lifeAs a tools engineer you will work closely with team technical leads and product owners to deliver incremental improvements to our game engine's tools across a variety of code areas. You will be a contributing member of an agile software development team practicing Scrum. You will be interacting with New World and other game developers as your primary customers. You will be writing and reviewing a lot of C++ code, with secondary use of and exposure to C#, LUA, Python, QT, and proprietary languages.About the teamThe "AZoth Engine Team" has a primary development hubs in Irvine, CA; we also have satellite studios in San Diego, CA and Seattle, WA.We are open to hiring candidates to work out of one of the following locations:Irvine, CA, USA | Seattle, WA, USABASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent- 3+ years of non-internship professional software development experience- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence- 3+ years of software development experience with C++- 1+ released games as a primary contributorPREFERRED QUALIFICATIONS- 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Experience in Games Industry (supporting title Development, Release, or Live Ops)- Experience in embedded development in C/C++- Tools development experience and user experience (UI/UX) development.- Experience with QT and QT Designer.- Experience with additional modern languages; specifically, C#, Python and LUA.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 $115,000/year in our lowest geographic market up to $223,600/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.

At CoreLogic, we are driven by a single mission-to make the property industry faster, smarter, and more people-centric. CoreLogic is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.CoreLogic is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At CoreLogic, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.Job Description:We are searching for an Executive of Natural and Hazard Science with expertise and passion around understanding and assessing hazard risks in the housing industry. This role will be a leader on the Chief Data & Analytics Officer's senior team, and would lead a team responsible for the management, development, and deployment of predictive or statistical models for our products, partners and clients around the world. This role plays an integral role in helping our clients reduce their risk-related losses and optimize their revenues through advanced analytics.Job Responsibilities• Lead and inspire high-performing teams of Natural and Hazard scientists and weather forensics to design, develop and deploy a suite of hazard risk & weather models and solutions.• Partners with the business stakeholders on the strategy & alignment of the roadmaps• Leads with operational rigor to define and deliver on the analytics roadmaps, be nimble and adjust to the business priorities and drives accountability.• Provide thought leadership and industry expertise assessing and understanding natural hazard risk in the housing.• Leads with outside in mindset, is in sych with the industry, competitive landscape and associated pressures, and brings that perspective to the strategy, roadmaps and innovation.• Leads transformation initiatives, including business cases to drive capital investments towards modern digital platform for innovation and scale.Job Qualifications:• Bachelor's or higher in a hard science, math, economics, statistics, an engineering field. In addition, an MBA is a plus• Viewed as an expert within the US residential insurance industry with 7+ years of experience at reputable companies in that space preferred• 10+ years of experience in data science, data engineering, advanced analytics, machine learning, statistics preferred• Experience leading and inspiring high-performing and innovative teams• Proven track record of translating business needs into technical solutions• Experience with Advanced Analytics, Software-driven Automation and Data Engineering with programming skills to retrieve, analyze and process data, and build machine learning models from the ground up• Strong people leadership experience including talent selection, engagement, growth, and retention• Excellent verbal and written communication skills• High P&L acumen with proven appreciation for meeting financial commitments and delivering on time, on budget high value solutions.• High level of accountability takes ownership of problems and sees them through to resolution; high energy thrives in fast-paced, high-rate-of-change setting; ability to balance competing priorities in a very dynamic/fast paced environment• Client-focused approach with strong interpersonal skillsAnnual Pay Range:211,500 - 285,000 USDCoreLogic benefits information can be found here: http://www.yourcorebenefits.com/. Qualifications, locations and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from any posted range.CoreLogic's Diversity Commitment:CoreLogic is fully committed to employing a diverseworkforce and creating an inclusive workenvironment that embraces everyone's uniquecontributions, experiences and values. We offer anempowered work environment that encouragescreativity, initiative and professional growth andprovides a competitive salary and benefits package. We are better together when we support and recognize our differences. EOE AA M/F/Veteran/Disability:CoreLogic is an Equal Opportunity/Affirmative Actionemployer committed to attracting and retaining thebest-qualified people available, without regard torace, color, religion, national origin, gender, sexualorientation, gender identity, age, disability or statusas a veteran of the Armed Forces, or any other basisprotected by federal, state or local law. CoreLogicmaintains a Drug-Free Workplace.Please apply on our website for consideration.Privacy Policy - http://www.corelogic.com/privacy.aspxBy providing your telephone number, you agree to receive automated (SMS) text messages at that number from CoreLogic regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide.Connect with us on social media! Click on the quicklinks below to find out more about our company and associates.

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.