Data Scientist jobs at Stripe - 20 jobs

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist, Analytics (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/year to $281,000/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 accommodations-ext@meta.com.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/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 accommodations-ext@meta.com.

The Partner Data Scientist (PDS), Transparency - Governance & Oversight Board, is responsible for leading data-driven governance initiatives, supporting Oversight Board activities, and ensuring Meta's external commitments are met through rigorous analytics, impact assessments, and process improvements. This role partners with Governance, Public Policy, Product, and external stakeholders to deliver actionable insights, validate the impact of recommendations, and proactively address regulatory and compliance risks. **Required Skills:** Partner Data Scientist, Governance Responsibilities: 1. Design, execute, and deliver custom Impact Assessments for the Oversight Board, providing data and analysis to validate the impact of Board recommendations and Meta's implementation efforts 2. Develop and maintain processes for tracking, reporting, and sharing impact metrics with the Board, including both manual and self-serve analyses via Meta Content Library (MCL) and API 3. Proactively identify and address gaps in data availability, implementation tracking, and accountability for recommendations, ensuring commitments are upheld and communicated transparently 4. Support regulatory response efforts by ensuring data sharing, reporting, and impact measurement processes meet evolving legal and policy requirements (e.g., DSA 40B) 5. Run end-to-end dry runs and readiness assessments for regulatory requests, and develop mitigation strategies for ambiguous or high-risk compliance scenarios 6. Collaborate with Integrity, Policy, and Product teams to align on regulatory priorities and resource allocation 7. Host workshops, office hours, and educational sessions for researchers, Board members, and external partners to drive adoption and understanding of Meta's transparency tools 8. Provide white-glove support for Oversight Board and governance stakeholders, including onboarding, troubleshooting, and feedback collection 9. Communicate findings, risks, and learnings to leadership and cross-functional teams, influencing strategy and resource allocation **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in a directly related field, or equivalent practical experience 11. 5+ years of experience following the data development lifecycle to develop scalable data infrastructure and analytics tools 12. Demonstrated experience building relationships with peers, stakeholders and collaborating with cross-functional teams across multiple geographies and time zones 13. Track record of operating independently and delivering results, embracing ambiguity, demonstrating creativity, being detail-oriented, and delivering results in a highly organized manner 14. Proven experience in communication and presentation skills, and the ability to clarify and summarize complex issues 15. Hands-on experience with SQL and/or data science toolkit for development and visualization (e.g. python/R, Tableau, Hive, MySQL, Spark, etc.) 16. Experience independently structuring and leading projects with cross-functional stakeholders in a highly matrixed organization 17. Experience independently managing multiple projects simultaneously and working autonomously in a deadline focused ambiguous environment 18. Experience in communicating effectively with experience of driving action based on data-driven insights. Experience turning vague concepts and asks into well-documented and effective business metrics and insights and storytelling through data insights 19. Project management experience, with experience leading and executing multiple time-sensitive projects with partners **Preferred Qualifications:** Preferred Qualifications: 20. BS, MS or MBA in a quantitative or policy/regulatory field preferred 21. Experience distilling/prioritizing needs of a broad range of stakeholders to inform an action plan 22. Experience working in policy, policy research, regulatory and compliance etc 23. Understanding of Account Management and research/analytics best practices 24. Strategy consulting experience (or equivalent experience in strategic and analytical problem-solving) **Public Compensation:** $137,000/year to $196,000/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 accommodations-ext@meta.com.

The Partner Data Scientist (PDS), Transparency - Governance & Oversight Board, is responsible for leading data-driven governance initiatives, supporting Oversight Board activities, and ensuring Meta's external commitments are met through rigorous analytics, impact assessments, and process improvements. This role partners with Governance, Public Policy, Product, and external stakeholders to deliver actionable insights, validate the impact of recommendations, and proactively address regulatory and compliance risks. Minimum Qualifications * Bachelor's degree in a directly related field, or equivalent practical experience * 5+ years of experience following the data development lifecycle to develop scalable data infrastructure and analytics tools * Demonstrated experience building relationships with peers, stakeholders and collaborating with cross-functional teams across multiple geographies and time zones * Track record of operating independently and delivering results, embracing ambiguity, demonstrating creativity, being detail-oriented, and delivering results in a highly organized manner * Proven experience in communication and presentation skills, and the ability to clarify and summarize complex issues * Hands-on experience with SQL and/or data science toolkit for development and visualization (e.g. python/R, Tableau, Hive, MySQL, Spark, etc.) * Experience independently structuring and leading projects with cross-functional stakeholders in a highly matrixed organization * Experience independently managing multiple projects simultaneously and working autonomously in a deadline focused ambiguous environment * Experience in communicating effectively with experience of driving action based on data-driven insights. Experience turning vague concepts and asks into well-documented and effective business metrics and insights and storytelling through data insights * Project management experience, with experience leading and executing multiple time-sensitive projects with partners Preferred Qualifications * BS, MS or MBA in a quantitative or policy/regulatory field preferred * Experience distilling/prioritizing needs of a broad range of stakeholders to inform an action plan * Experience working in policy, policy research, regulatory and compliance etc * Understanding of Account Management and research/analytics best practices * Strategy consulting experience (or equivalent experience in strategic and analytical problem-solving) Responsibilities * Design, execute, and deliver custom Impact Assessments for the Oversight Board, providing data and analysis to validate the impact of Board recommendations and Meta's implementation efforts * Develop and maintain processes for tracking, reporting, and sharing impact metrics with the Board, including both manual and self-serve analyses via Meta Content Library (MCL) and API * Proactively identify and address gaps in data availability, implementation tracking, and accountability for recommendations, ensuring commitments are upheld and communicated transparently * Support regulatory response efforts by ensuring data sharing, reporting, and impact measurement processes meet evolving legal and policy requirements (e.g., DSA 40B) * Run end-to-end dry runs and readiness assessments for regulatory requests, and develop mitigation strategies for ambiguous or high-risk compliance scenarios * Collaborate with Integrity, Policy, and Product teams to align on regulatory priorities and resource allocation * Host workshops, office hours, and educational sessions for researchers, Board members, and external partners to drive adoption and understanding of Meta's transparency tools * Provide white-glove support for Oversight Board and governance stakeholders, including onboarding, troubleshooting, and feedback collection * Communicate findings, risks, and learnings to leadership and cross-functional teams, influencing strategy and resource allocation About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem. Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. Minimum Qualifications * Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta * Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent * 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) * 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] Preferred Qualifications * Master's or Ph.D. Degree in a quantitative field Responsibilities * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches * Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses * Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends * Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations * Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem. Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) * Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience * Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Preferred Qualifications * Master's or Ph.D. Degree in a quantitative field Responsibilities * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches * Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses * Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends * Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations * Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Meta's Products & Applied Research (PAR) team is where product-focused research meets real-world impact, taking breakthrough AI research and transforming it into products that reach billions. As part of Meta Superintelligence Labs (MSL), we're driving the transformation of Meta's core experiences-across Facebook, Instagram, WhatsApp, Threads, and beyond-by applying cutting-edge research to real-world products at massive scale. We are looking for a Data Scientist to join our PAR organization where you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world, by applying your technical skills, analytical mindset, and product intuition. In this role, you will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem. Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience * A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) * Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Preferred Qualifications * Master's or Ph.D. Degree in a quantitative field Responsibilities * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches * Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses * Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends * Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations * Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem. Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent * 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) * 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] Preferred Qualifications * Master's or Ph.D. Degree in a quantitative field Responsibilities * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches * Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses * Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends * Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations * Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) 9. 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $119,000/year to $173,000/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 accommodations-ext@meta.com.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. We are looking for a Data Scientist to join our marketing org. As a Data Scientist you introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest's revenue growth and marketing strategy. The results of your work will influence and drive strategic decisions for the company - identify investment opportunities for growth, understand revenue growth and behavior, and define metrics to grow and sustain our advertiser base. You will collaborate on a wide array of business problems with a diverse set of cross-functional partners across Marketing, Product, Engineering, Analytics and others. The role is within the Marketing team and would be supporting business marketing efforts focused on driving revenue growth for Pinterest. What you'll do: Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI. Marketing channels could be different paid media, organic social, email, in person events, webinars, elearning platform etc. Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models-to optimize marketing strategies and enhance audience targeting. Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels. Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks. Conduct deep, strategic analyses to address key business questions, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, identifying opportunities to increase advertiser growth and revenue through marketing initiatives Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership. Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models. What we're looking for: 3+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems. Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering. Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments. Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems. Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Ability to write efficient SQL queries. Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions. Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams. Explains work and thought processes clearly and concisely. Experience leading key technical projects. Strong Experimentation background. Statistical rigor. Experience with causal inference projects. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$114,297-$235,319 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Understanding and improving how we optimize ads through the ads delivery funnel to Pinners is fundamental to Pinterest's long-term success. We're looking for a data scientist to join our team in pushing the boundaries in ads optimization. You will be a key member of an organization of talented data scientists innovating on ads delivery. What you'll do: Strategy: Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platform's future. Experimentation: Improve our experimentation capabilities and tools for assessing our ad delivery system, advise on best practices, identify flaws, and build tools and frameworks for experiment analysis. Leadership: Lead and mentor peers, improving team output through continuous, candid feedback that recognizes strengths and identifies areas for growth. Be a technical leader for junior data scientists. Communication: Clearly and concisely communicate complex analytical findings and insights to stakeholders with varying technical backgrounds. Continuous Learning: Stay informed on the latest developments in data science, causal inference, and advertising technology to drive innovation. What we're looking for: 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data Direct involvement in the evaluation, refinement, and deployment of ads optimization models for ads delivery systems. Proficiency in leveraging large datasets for performance analysis and gap identification. Proven ability to apply scientific methods to solve real-world problems on web-scale data Expertise in SQL and Python Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams Experience leading key technical projects and substantially influencing the scope and output of others Experience in digital ad delivery stacks preferred In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices: San Francisco, CA or Seattle, WA. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-NM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$164,695-$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. We are looking for a Staff Data Scientist for our Engagement Ecosystem. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you'll do Develop a deep, nuanced understanding of the Pinterest engagement ecosystem and key product surfaces, quantifying ecosystem-level opportunities and risks. Lead projects on: Tradeoffs between organic engagement and advertising. Deep dives on how engagement metrics impact monetization and retention. Understanding and predicting the value of core behaviors (e.g., saving, repinning, board creation) as they relate to downstream business outcomes. Designing and evaluating interventions that sustainably boost enterprise metrics across product boundaries. Design and productionize robust, scalable ML and evaluation frameworks-spanning forecasting, recommendation, and causal inference. Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact. Collaborate across disciplines-Product, Engineering, Research, Business, and Design-translating complex data questions into actionable business insights. Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence. What we're looking for 10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics. Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark. Strong product intuition-ability to scope, question, and design the right solutions for ill-defined, high-impact business problems. Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes. Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences. Track record mentoring and growing data talent at the staff/senior IC level. Cross-functional leadership and the ability to align competing interests towards shared goals. Masters degree in a technical field (e.g., Computer Science, Statistics, Mathematics, Engineering, Social Sciences). In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$164,695-$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. What you'll do Be the technical lead for the forecasting team. Own the strategy and implementation of forecasting models of key company metrics (e.g., monthly active users), delivering accurate, interpretable forecasts at scale. Lead the full modeling lifecycle end to end: problem framing, feature engineering, model development and prototyping, experimentation and backtesting, deployment, monitoring/drift detection, and explainability. Set the forecasting technical vision. Define model architectures and standards, and partner with Engineering to shape the forecasting platform for efficient training/inference today and the scalability needed for the next generation of models. Translate forecasts into decisions. Present outputs, scenario analyses, and recommendation frameworks to senior leadership with clarity and brevity. This is a high‑visibility role with regular VP-level exposure. Drive broader time‑series impact beyond point forecasts-e.g., anomaly detection, automated root‑cause analysis, campaign/channel attribution, and early‑warning signals for business health. Embed forecasting into the business. Partner with BizOps/Finance and product teams to integrate forecasts and insights into operational rhythms, executive decision-making, and strategic planning. Lead and mentor. Guide the work of at least two data scientists, raising the bar on technical quality, execution, and impact through candid, continuous feedback and coaching. What we're looking for 8+ years of combined post-graduate academic and industry experience building and shipping production time‑series/forecasting models with web‑scale data. A track record of delivering adjustable, well‑calibrated, and explainable forecasting systems that informing decision-making. Strong background in time‑series modeling and applied statistics/econometrics; advanced degree (MS or PhD) preferred. Expertise in at least one scripting language (ideally Python). Strong SQL skills (Hive/Presto/Spark SQL) and experience building reliable data pipelines/workflows (e.g., Airflow). Business acumen and ownership mindset-able to simplify complex problems, connect model outputs to business levers, and prioritize for impact. Excellent communication skills-able to distill complex analyses and uncertainty into concise narratives for executive audiences. Proven technical leadership-success leading critical projects and materially influencing the scope and output of other contributors. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-NM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$164,695-$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Come join the Trust & Safety Data Engineering Team in New York as a Staff Data Engineer (Staff Software Engineer role). We are leveraging big data technologies to develop solutions to detect and combat fraudulent activities initiated by external users across all Intuit's products. Some of the technologies we are leveraging include Apache Spark, Athena, Redshift, Kafka, Hive, S3, EMR, AWS, and GCP. We foster an open team environment where we value direct interactions and working code above working in a cave. You will lead the entire product lifecycle for multiple big data solutions that are broad in scope and complexity, applying a full understanding of software engineering methodologies and industry best practices for data products. Work with Industry Experts; Senior, Staff and Principal Engineers, utilize specialized knowledge to develop, and maintain Intuit's data solutions. Responsibilities RESPONSIBILITIES * Own the tech vision and strategy for multiple domains or capabilities * Drive Strategic Impact. Focus on the direct and strategic application of data to deliver measurable business outcomes, even if it means working with imperfect data to capture significant value. * Hands-on development in all phases of the software life cycle. * Build batch and real-time/streaming data pipelines that are able to handle large volumes of data * Design data models * Gather data needs from internal customers like product and analysts and translate those requirements into a working big data solution design. * Partner with product managers, fraud analysts, data scientists, data architects, software engineers, and other data engineers from around the world. * Participate in design and code reviews * Designing/developing ETL jobs across multiple big data platforms and tools including S3, EMR, Hive, Spark SQL, PYSpark. * Rapidly fix bugs and solve problems; effectively remediate defects * Clean, transform and validate data for use in analytics and reporting * Proactively monitor data quality and pipeline performance, troubleshoot and resolve data issues * Collaborate effectively with senior engineers and architects to solve problems spanning their respective areas to deliver end-to-end quality in our technology and customer experience. * Helps to align to overall strategies and reconcile competing priorities across the organization. * Contribute to the design and architecture of projects across the data landscape. * Actively stay abreast of industry best practices, share learnings, and experiment and apply cutting edge technologies while proactively identifying opportunities to enhance software applications with AI technology * Participate in a scheduled on-call rotation to handle production incidents outside of business hours * Mentor other team members and contribute to the growth of the team * Be available to work in a hybrid mode (3 days in the office and 2 days remote per week) Qualifications * 8+ years of hand-on experience building big data solutions and ETL data pipelines using Apache Spark or similar technologies * BS or MS in Computer Science, Data Engineering or related field * Hands-on experience developing data solutions on the AWS platform (preferred), GCP, or Azure * Experience with Agile Development, SCRUM, and/or Extreme Programming methodologies * Expert in SQL, Python and Linux, and strong working knowledge of XML, JSON, YAML. * Knowledgeable with tools and frameworks Docker, Spark, Jupiter Notebook, Databricks Notebook, Kubernetes, Feature Management Platforms, SageMaker * Advanced experience with scripting language - Python or Shell is a must have * Expert knowledge of software development methodologies and practices * Experience with cloud platforms such as AWS, Azure or GCP - Amazon web services: EC2, S3, EMR, and Redshift or equivalent cloud computing approaches * Strong expertise in Data Warehousing and analytic architecture * Experience working with large data volumes, data visualization * Experience with low-latency NoSQL datastores (such as DynamoDB, HBase, Redshift) is a plus * Experience with building stream-processing applications using Spark Streaming, Flink, etc. is a plus * Hands on experience in AI * Solid communication skills * Demonstrated expertise in Software design and architecture process. * Experience with unit testing and data quality automation checks * Should be results oriented, self-motivated, accountable and work under minimal supervision. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: New York $ 197,000- 266,500

Every month, billions of people leverage Meta products to connect with friends and loved ones from across the world. On the Data Engineering Team, our mission is to support these products both internally and externally by delivering the best data foundation that drives impact through informed decision making. As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community.We are looking for a technical leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support building out a great platform for the future of computing. In this role, you will view a direct correlation between your work, company growth, and user satisfaction. You'll work with some of the best minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.The ideal candidate will have demonstrated experience in data infrastructure and data architecture as well as areas such as governing company wide data marts, enabling security and privacy data solutions, and full stack experience with analytical technologies. Candidates should also have a proven track record of leading and scaling efforts related to end-to-end analytics systems, operational skills to drive efficiency and speed, project management leadership, and a vision for how data can proactively improve companies.As we continue to expand and create, we have a lot of exciting work ahead of us! **Required Skills:** Data Engineer, Analytics (Technical Leadership) Responsibilities: 1. Proactively drive the vision for data foundation and analytics to accelerate building and improvement of cross platform components across Instagram, and define and execute on plan to achieve that vision 2. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems 3. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve 4. Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs 5. Define and manage SLA for all data sets in allocated areas of ownership 6. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership 7. Design, build, and launch collections of sophisticated data models and visualizations that support use cases across different products or domains 8. Solve our most challenging data integrations problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources 9. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts 10. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts 11. Influence product and cross-functional teams to identify data opportunities to drive impact 12. Mentor team members by giving/receiving actionable feedback **Minimum Qualifications:** Minimum Qualifications: 13. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 14. 10+ years experience in the data warehouse space 15. 10+ years experience in custom ETL design, implementation and maintenance 16. 10+ years experience with object-oriented programming languages 17. 10+ years experience with schema design and dimensional data modeling 18. 10+ years experience in authoring SQL statements 19. Experience analyzing data to identify deliverables, gaps and inconsistencies 20. Experience managing and communicating data warehouse plans to internal clients **Preferred Qualifications:** Preferred Qualifications: 21. BS/BA in Technical Field, Computer Science or Mathematics 22. Experience working with either a MapReduce or an MPP system 23. Knowledge and practical application of Python 24. Experience working autonomously in global teams 25. Experience influencing product decisions with data **Public Compensation:** $210,000/year to $281,000/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 accommodations-ext@meta.com.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide. In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community. You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond. Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems. Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * 2+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions * 2+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.) Preferred Qualifications * Master's or Ph.D degree in a STEM field Responsibilities * Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems * Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve * Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way * Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership * Design, build and launch new data models and visualizations in production, leveraging common development toolkits * Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries * Support existing processes running in production and implement optimized solutions with limited guidance * Define and manage Service Level Agreements for data sets in allocated areas of ownership About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide. In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community. You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond. Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems. Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * 7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions * 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.) Preferred Qualifications * Master's or Ph.D degree in a STEM field Responsibilities * Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems * Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve * Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way * Define and manage Service Level Agreements for all data sets in allocated areas of ownership * Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership * Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains * Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources * Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts * Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts * Influence product and cross-functional teams to identify data opportunities to drive impact * Mentor team members by giving/receiving actionable feedback About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide. In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community. You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond. Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems. Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions * 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.) Preferred Qualifications * Master's or Ph.D degree in a STEM field Responsibilities * Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems * Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve * Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way * Define and manage Service Level Agreements for all data sets in allocated areas of ownership * Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership * Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains * Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources * Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts * Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts * Influence product and cross-functional teams to identify data opportunities to drive impact * Mentor team members by giving/receiving actionable feedback About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Every month, billions of people leverage Meta products to connect with friends and loved ones from across the world. On the Data Engineering Team, our mission is to support these products both internally and externally by delivering the best data foundation that drives impact through informed decision making. As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. We are looking for a technical leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support building out a great platform for the future of computing. In this role, you will view a direct correlation between your work, company growth, and user satisfaction. You'll work with some of the best minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis. The ideal candidate will have demonstrated experience in data infrastructure and data architecture as well as areas such as governing company wide data marts, enabling security and privacy data solutions, and full stack experience with analytical technologies. Candidates should also have a proven track record of leading and scaling efforts related to end-to-end analytics systems, operational skills to drive efficiency and speed, project management leadership, and a vision for how data can proactively improve companies. As we continue to expand and create, we have a lot of exciting work ahead of us! Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * 10+ years experience in the data warehouse space * 10+ years experience in custom ETL design, implementation and maintenance * 10+ years experience with object-oriented programming languages * 10+ years experience with schema design and dimensional data modeling * 10+ years experience in authoring SQL statements * Experience analyzing data to identify deliverables, gaps and inconsistencies * Experience managing and communicating data warehouse plans to internal clients Preferred Qualifications * BS/BA in Technical Field, Computer Science or Mathematics * Experience working with either a MapReduce or an MPP system * Knowledge and practical application of Python * Experience working autonomously in global teams * Experience influencing product decisions with data Responsibilities * Proactively drive the vision for data foundation and analytics to accelerate building and improvement of cross platform components across Instagram, and define and execute on plan to achieve that vision * Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems * Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve * Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs * Define and manage SLA for all data sets in allocated areas of ownership * Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership * Design, build, and launch collections of sophisticated data models and visualizations that support use cases across different products or domains * Solve our most challenging data integrations problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources * Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts * Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts * Influence product and cross-functional teams to identify data opportunities to drive impact * Mentor team members by giving/receiving actionable feedback About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.