559 Data Scientist jobs in Washington

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Scientist Responsibilities:
1. Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products.
2. Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
3. Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
4. Inform, influence, support, and execute our product decisions and product launches.
5. May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.
6. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
7. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
8. Telecommuting allowed from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
9. Requires a PhD (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Economics, Mathematics, or a related field
10. Position requires completion of one graduate-level course, one research project, or one internship involving the following skills:
11. 1. Performing quantitative analysis including data mining on highly complex data sets
12. 2. Data querying language(s) including SQL
13. 3. Scripting language(s) including Python
14. 4. Statistical or mathematical software including one of the following: R, SAS, or Matlab
15. 5. Applied statistics or experimentation, such as A/B testing, in an industry setting
16. 6. Machine learning techniques
17. 7. ETL (Extract, Transform, Load) processes
18. 8. Relational databases
19. 9. Large-scale data processing infrastructures using distributed systems and
20. 10. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics
**Public Compensation:**
$209,973/year to $235,400/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Scientist Responsibilities:
1. Utilize advanced knowledge of quantitative analysis, management science, data mining, mathematics, Hadoop/Hive, SQL, Excel, and presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
2. Identify actionable insights, suggest recommendations and influence the direction of Security strategy by effectively communicating results to cross functional groups, including Security strategy leadership.
3. Leverage data and mathematical principles to provide insights about user behavior, inform business decisions based on data mining and large, complex data sets, and solve large scale data infrastructure problems.
4. Predict and understand user patterns through metric analysis.
5. Work cross functionally to define problem statements, collect data, build analytical models and make recommendations.
6. Develop mathematical models and perform data analysis to drive insights to improve Meta's operations.
7. Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
8. Build and analyze dashboards, reports and key data sets to empower operations and exploratory analysis.
9. Automate analyses and author data pipelines via SQL and Python based ETL framework.
10. Develop strong business partnerships with Security strategy leadership by translating strategic questions into structured analyses, defining success metrics, and developing reporting channels.
11. Assist in designing hypothesis testing experiments, analyze data collected, and present results.
12. Conduct ad hoc data analysis based on current team needs.
13. Complete root cause analysis of different workflows in order to quantify problems, operationalize goals and identify priorities.
14. Answering big picture questions by framing the question, turning it into an analytical plan, executing and communicating to stakeholders.
15. Initiating and driving projects to completion in a high cross-functional environment.
16. Telecommute from anywhere in the US permitted.
**Minimum Qualifications:**
Minimum Qualifications:
17. Requires a Master's degree (or foreign degree equivalent) in Analytics, Operations Research, Statistics, Computer Science, Computer Engineering, Applied Sciences, Mathematics, or related field, and 5 years of experience in job offered or in an analyst-related occupation.
18. Requires 60 months of experience in each of the following:
19. 1. Solving analytical problems and building models using quantitative, statistical or machine learning approaches
20. 2. Machine Learning, Statistics, or other data analysis tools and techniques
21. 3. Performing data extraction, cleaning, analysis and presentation for medium to large datasets
22. 4. At least one programming language: Python, R, Java, or C++
23. 5. Writing SQL queries
24. 6. Scientific computing and analysis packages: NumPy, SciPy, Pandas, Scikit-learn, dplyr, or ggplot2
25. 7. Statistics methods: inferential, forecasting, time series, hypothesis testing, clustering and regression analysis
26. 8. Data visualization libraries: Matplotlib, Pyplot, or ggplot2
27. 9. Working with distributed computing tools: Hadoop, Hive, or Spark
28. and 10. Applied statistics or experimentation, such as A/B testing.
**Public Compensation:**
$217,553/year to $235,400/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Scientist Responsibilities:
1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with consumer and business products.
2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights.
3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior.
4. Building models of user behaviors for analysis or to power production systems.
5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
6. Design and implement dashboards and reports that track key business metrics and provide actionable insights.
7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups.
8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what is built at Meta.
**Minimum Qualifications:**
Minimum Qualifications:
9. Requires a Doctorate degree(or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Behavioral Decision Research, or a related field and 12 months of experience in the job offered or in a related occupation including as a research assistant, graduate assistant, or intern.
10. Requires 12 months of experience involving the following:
11. 1. Solving analytical problems using quantitative approaches
12. 2. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
13. 3. Communicating complex research in a clear, precise, and actionable manner
14. 4. Research in topics closely related to machine learning, and data mining
15. 5. Developing tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
16. 6. Python or R.
**Public Compensation:**
$203,302/year to $235,400/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
Meta is seeking a highly skilled and motivated Data Scientist to join our Infrastructure Data Centers team. As a lead data scientist, you will partner with stakeholders, program managers, and other data science functions to translate Meta's Infrastructure Data Centers' data into value. You will have the opportunity to work on a wide range of data science projects, such as developing an analytics program to drive operational efficiency, conducting strategic analysis to facilitate decision making, measuring Machine Learning models and automation to increase predictive accuracy and reduce manual effort, and working with software developers to build analytical solutions.The ideal candidate will have a passion for working in ambiguous environment and creating impact from the ground up in a fast-paced environment. Additionally, you will have a proven track record of thought leadership and impact in developing similar analytics programs and machine learning solutions. This position is part of the Infrastructure Data Centers organization.
**Required Skills:**
Data Scientist Responsibilities:
1. Collaborate with cross-functional data and business teams to define problems, analyze impacts, identify opportunities, and develop solutions that improve decision-making and efficiency.
2. Translate business challenges into data-driven problems and design appropriate data science solutions, including metrics and analytics, business intelligence, experimentation
3. Identify operational gaps, build analytical models to derive insights, and support decision-making across organizational leadership.
4. Design and implement statistical models such as hypothesis testing, forecasting, statistical process control, and simulation to influence critical business decisions and Data Center operations.
5. Utilize expertise in statistics, machine learning, optimization, and automation to develop analytics solutions.
6. Work closely with stakeholders, data engineers, and program/product managers to ensure seamless progress.
7. Educate and influence stakeholders to enhance operational efficiency with empathy.
8. Recommend process improvements based on operational data and user behavior to boost business performance.
9. Mentor team members on data science best practices.
**Minimum Qualifications:**
Minimum Qualifications:
10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
11. 6+ years of experience (2 years+ of experience post Ph.D.) with advanced SQL in big data environments (e.g., Hive, Presto, Spark) and data modeling.
12. 6+ years of experience (2 years+ of experience post Ph.D.) managing and analyzing large-scale data using Python, R, or similar languages.
13. 6+ years of experience (2 years+ of experience post Ph.D.) of working with visualization tools such as Tableau, PowerBI, or similar.
14. 6+ years experience (2 years+ of experience post Ph.D.) analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders.
15. Experience in enhancing data collection procedures, data processing, cleansing, and verifying the integrity of data used for analysis
16. Proven track record of managing and leading cross-functional projects and teams.
17. Solid understanding of machine learning techniques and algorithms.
18. Hands-on programming experience in one or more of: AI/ML, LLM, NLP, Statistical modeling.
19. Proficient in statistical analysis and experimental design.
**Preferred Qualifications:**
Preferred Qualifications:
20. Technical knowledge of data center operations
21. Masters degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related analytical field.
22. Knowledge of simulation and optimization techniques
23. Great communication and storytelling skills to influence all organizational levels (engineers, executives and cross functional teams) to drive business decisions
**Public Compensation:**
$145,000/year to $204,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

Our client, a leading player in the gaming industry, is seeking a Data Scientist to join their team. As a Data Scientist, you will be part of the analytics team supporting a bestselling game. The ideal candidate will have strong analytical skills, excellent communication abilities, and a collaborative mindset, which will align successfully in the organization.
**Data Scientist**
**Redmond, WA (Hybrid - 3 days onsite)**
**18 Month Contract**
**$72-$75/hour**
**What's the Job?**
+ Understand the problems and challenges facing projects and products and leverage data science to uncover important factors that can influence outcomes.
+ Identify relevant data sources and datasets, preprocess and analyze data to understand business trends.
+ Collaborate with stakeholders to understand business needs and validate customer perspectives.
+ Leverage knowledge of statistics and modeling to design, develop, and deploy models that meet business objectives.
+ Present insights to product teams and make recommendations to optimize business performance.
**What's Needed?**
+ 8+ years of experience in business analytics, particularly in subscriptions or monetization.
+ Proficiency in SQL and experience with Python or PySpark.
+ Strong analytical and problem-solving skills.
+ Ability to work collaboratively in a diverse and fast-paced environment.
+ Excellent verbal, visual, and written communication skills.
**What's in it for me?**
+ Opportunity to work on a bestselling game in the exciting gaming industry.
+ Collaborate with talented professionals and stakeholders.
+ Engage in impactful projects that drive business strategy.
+ Flexible working environment with hybrid options.
+ Professional growth and development opportunities.
**Upon completion of waiting period consultants are eligible for:**
+ Medical and Prescription Drug Plans
+ Dental Plan
+ Vision Plan
+ Health Savings Account
+ Health Flexible Spending Account
+ Dependent Care Flexible Spending Account
+ Supplemental Life Insurance
+ Short Term and Long Term Disability Insurance
+ Business Travel Insurance
+ 401(k), Plus Match
+ Weekly Pay
If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
**About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells**
_ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands -_ **_Manpower, Experis, Talent Solutions, and Jefferson Wells_** _-_ creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.
ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Scientist Responsibilities:
1. Utilize advanced knowledge of quantitative analysis, management science, data mining, mathematics, Hadoop/Hive, SQL, Excel, and presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
2. Identify actionable insights, suggest recommendations and influence the direction of Security strategy by effectively communicating results to cross functional groups, including Security strategy leadership.
3. Leverage data and mathematical principles to provide insights about user behavior, inform business decisions based on data mining and large, complex data sets, and solve large scale data infrastructure problems.
4. Predict and understand user patterns through metric analysis.
5. Work cross functionally to define problem statements, collect data, build analytical models and make recommendations.
6. Develop mathematical models and perform data analysis to drive insights to improve Meta's operations.
7. Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
8. Build and analyze dashboards, reports and key data sets to empower operations and exploratory analysis.
9. Automate analyses and author data pipelines via SQL and Python based ETL framework.
10. Develop strong business partnerships with Security strategy leadership by translating strategic questions into structured analyses, defining success metrics, and developing reporting channels.
11. Assist in designing hypothesis testing experiments, analyze data collected, and present results.
12. Conduct ad hoc data analysis based on current team needs.
13. Complete root cause analysis of different workflows in order to quantify problems, operationalize goals and identify priorities.
14. Answering big picture questions by framing the question, turning it into an analytical plan, executing and communicating to stakeholders.
15. Initiating and driving projects to completion in a high cross-functional environment.
16. Telecommute from anywhere in the US permitted.
**Minimum Qualifications:**
Minimum Qualifications:
17. Requires a Master's degree (or foreign degree equivalent) in Analytics, Operations Research, Statistics, Computer Science, Computer Engineering, Applied Sciences, Mathematics, or related field, and 5 years of experience in job offered or in an analyst-related occupation.
18. Requires 60 months of experience in each of the following:
19. 1. Solving analytical problems and building models using quantitative, statistical or machine learning approaches
20. 2. Machine Learning, Statistics, or other data analysis tools and techniques
21. 3. Performing data extraction, cleaning, analysis and presentation for medium to large datasets
22. 4. At least one programming language: Python, R, Java, or C++
23. 5. Writing SQL queries
24. 6. Scientific computing and analysis packages: NumPy, SciPy, Pandas, Scikit-learn, dplyr, or ggplot2
25. 7. Statistics methods: inferential, forecasting, time series, hypothesis testing, clustering and regression analysis
26. 8. Data visualization libraries: Matplotlib, Pyplot, or ggplot2
27. 9. Working with distributed computing tools: Hadoop, Hive, or Spark
28. and 10. Applied statistics or experimentation, such as A/B testing.
**Public Compensation:**
$217,553/year to $235,400/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Scientist Responsibilities:
1. Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products.
2. Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
3. Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
4. Inform, influence, support, and execute our product decisions and product launches.
5. May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.
6. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
7. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
8. Telecommuting allowed from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
9. Requires a PhD (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Economics, Mathematics, or a related field
10. Position requires completion of one graduate-level course, one research project, or one internship involving the following skills:
11. 1. Performing quantitative analysis including data mining on highly complex data sets
12. 2. Data querying language(s) including SQL
13. 3. Scripting language(s) including Python
14. 4. Statistical or mathematical software including one of the following: R, SAS, or Matlab
15. 5. Applied statistics or experimentation, such as A/B testing, in an industry setting
16. 6. Machine learning techniques
17. 7. ETL (Extract, Transform, Load) processes
18. 8. Relational databases
19. 9. Large-scale data processing infrastructures using distributed systems and
20. 10. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics
**Public Compensation:**
$209,973/year to $235,400/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Data Scientist**
**Position Overview**
AI and analytics give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. In order to do so, our clients need new business models built from analyzing dynamically changing customer and business operations data to drive ideal business decisions.
A Data Scientist in Cognizant's Data+ practice brings relevant context to complex data for business and IT for intelligent systems and human decisioning. They work within the domains of data management, business intelligence, descriptive analytics and advanced modeling. They will use a variety of machine learning and AI approaches to deliver better, faster, and smarter insights and intelligence to some of the world's most successful businesses - our clients.
**Responsibilities**
+ Build an in-depth understanding of the opportunity, challenge or issue in the domain and its associated data
+ Interact with and integrate large, diverse and impactful datasets across business functions
+ Research, design, implement, and evaluate sophisticated analytics, including machine learning models
+ Take initiative in evaluating and adapting new innovative approaches and methods from data science research
+ Investigate data visualization and summarization techniques for conveying key findings
+ Responsible for telling the "data and analytics story" to business users in a clear and concise manner and bring value from the data storytelling
+ Communicate findings, obstacles and opportunities to clients to help drive the delivery to market
+ Basic exposure working with Generative AI.
**Basic Qualifications**
+ Bachelor's or Master's degree in IT-related field and 0-3 years of IT experience
+ Strong problem solving and analytical thinking skills with business interpersonal skills (both written and oral)
+ Hands-on experience in data cleaning and data quality assessment, hypotheses testing, data exploration and mining, visualization techniques, algorithm selection and building predictive models using traditional machine learning algorithms
+ Experience with traditional modeling algorithms (e.g. regression, log-regression, clustering, predictive modeling, etc.)
+ Hands on experience with Python and R/R Studio
+ Exposure to working with SQL, Relational Database Management Systems (e.g. SQL Server, Oracle)
**Distinguishing Qualifications**
+ Familiarity with neural networks and other deep learning approaches
+ Familiarity with developing and deploying models on the Hadoop environment
+ Some experience with AWS Sagemaker, Google TensorFlow or MS Azure ML
+ Experience with collaborative development workflows (e.g., Microsoft VSTS)
+ Knowledgable in application development using Hadoop components (HDFS, Spark, Hive, etc.)
+ Solid understanding of Tableau or other BI visualization tools, Google Analytics, Adobe Analytics, SAS
+ Open-Source Tools in any of the above with experience in D3/R/Shiny/Python/GitHub
+ Awareness of Narrative Science/ YSEOP/Automated Insights and concepts of NLG/NLP
**Location(s)**
Associates be deployed to specific client sites and those locations will be discussed through the application process. While Cognizant will make reasonable efforts to accommodate your location preference, please note that final assignments will be based on business needs and regional relocation may be required.
**Start Date(s)**
Start date is July 2025. While we will attempt to honor candidate summer start date preferences, business need and position availability will determine final start date assignment. Exact summer start dates will be communicated with enough time for you to plan effectively.
**Why Choose Us?**
Cognizant delivers solutions that draw upon the full power and scale of our associates. You will be supported by high-caliber professionals and employ some of the most sophisticated and patented capabilities. Our associate's diverse set of backgrounds offer varied perspectives and fuel new ways of thinking. We encourage lively discussions which inspire better results for our clients.
If you're comfortable with ambiguity and excel through autonomy, we'd love to hear from you!
**Salary and Other Compensation:**
The annual salary for this role is $73,000.00 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
**Benefits:**
Cognizant offers the following benefits for this position:
+ Medical/Dental/Vision/Life Insurance
+ Paid holidays plus Paid Time Off
+ 401(k) plan and contributions
+ Long-term/Short-term Disability
+ Paid Parental Leave
+ Employee Stock Purchase Plan
**Disclaimer**
The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
**Work Authorization**
Due to the nature of this position, Cognizant cannot provide sponsorship for U.S. work authorization (including participation in a CPT/OPT program).
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Data Scientist
@ Twitch Irvine, CA; New York City; San Francisco, CA; Seattle, WA
**About Us**
Twitch is the world's biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We're about community, inside and out. You'll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We're on a quest to empower live communities, so if this sounds good to you, see what we're up to on LinkedIn and X , and discover the projects we're solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process.
**About the Role**
We're looking for a Data Scientist to join the Money team at Twitch, which supports the systems behind creator payouts, payments infrastructure, and fraud detection. In this role you'll focus on Payouts. Payouts is a high-leverage area that shapes how and when creators are paid and payout eligibility.
You'll work closely with product, engineering, finance, legal, and data partners to measure and refine our payout-related programs like the Plus Program and support new monetization initiatives to expand who can monetize on Twitch. While many changes are policy driven rather than AB tested, they require thoughtful measurement, reporting, operations, and causal reasoning.
This role is well suited for someone early on in their data science career who is eager to take ownership of high-impact, cross-functional projects and grow into a senior role. You'll need to be comfortable with writing SQL, working with imperfect data, and flexing into data workflows when data engineering coverage is limited.
You can work in San Francisco, CA; Irvine, CA; New York, NY; or Seattle, WA
**You Will:**
+ Analyze and evaluate policy and program changes that affect how creators are paid
+ Own reporting and insights related to payout eligibility, earning, and program performance
+ Partner with cross-functional stakeholders to inform product and business decisions
+ Write, maintain, and validate pipelines to support recurring analytics and reporting
+ Apply causal inference methods to estimate the impact of payout changes
**You Have:**
+ 1+ years of experience as a data scientist, data analyst, or a related field
+ Proficiency in SQL
+ Proficiency with Python or R
+ Understanding of Causal Inference concepts (ex/ DiD, matching, IPW, experiment design)
+ Strong communication skills across technical and non-technical stakeholders
+ High level of comfort creating dashboards
**Bonus Points**
+ Hands-on experience with Airflow, Sagemaker or deploying ML models in production environments
+ Strong familiarity with econometrics
+ Contribute to machine learning efforts in fraud or churn prediction
+ Experience Ideating, executing, and analyzing A/B tests.
**Perks**
+ Medical, Dental, Vision & Disability Insurance
+ 401(k)
+ Maternity & Parental Leave
+ Flexible PTO
+ Amazon Employee Discount
_Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records._
_Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records._
Job ID: TW8811
_Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to 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. This position will remain open until filled. For more information, please visit_ _ _._ _Applicants_ _should apply_ _via_ _our internal or external career site._
US Pay Per Year
$97,500-$185,000 USD
_Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status._
_Twitch values your privacy. Please consult our_ _Candidate Privacy Notice_ _, for information about how we collect, use, and disclose personal information of our candidates._