Data Scientist, Finance
Meta
Menlo Park, CA 94025$177,000 - $247,000 a year
Job Description
Meta is seeking a highly quantitative, analytical and proactive data scientist for the Finance Data Science team. The Finance DS team has a unique bird's-eye view of Meta's world class advertising business and is positioned at the center of some of the most important strategic decisions for the company. The team is responsible for understanding business drivers, accurately forecasting revenue, identifying opportunities/risks, and maximizing ROI on the largest investments across the family of apps (Facebook, Instagram, Messenger, WhatsApp).This position will focus heavily on analyzing and modeling ROI of Meta's infra capacity investments and decisions, understanding how leading-edge AI technologies are impacting our complex ads ecosystem, and developing actionable insights to enable data-driven financial decision making. The role is highly cross-functional and partner facing, involving coordination and navigation of differing perspectives across a variety of data science, product and finance teams. As an experienced individual contributor, you will also be expected to raise the quality of the data science craft at Meta, and to provide technical leadership and mentorship to other data scientists.
Data Scientist, Finance Responsibilities:
Own and lead data science projects end-to-end in partnership with other data science, finance or cross-functional teams to inform and influence product investment decisions
Raise the bar of data science at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, forecasting), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
Build frameworks to analyze business implications, influence measurement standards and extrapolate experiment results into highly accurate and explainable forecasts
Navigate complex cross-functional situations and evaluate statistical analyses by other data science teams to reach alignment on objective business outcomes
Influence financial and product direction through clear and compelling presentations, including leadership
Minimum Qualifications:
Bachelor's degree in a directly related field, or equivalent practical experience
5+ years of experience in data science, quantitative analysis or predictive modeling to inform business/financial strategy
1+ years of experience as a technical lead (providing technical thought leadership or mentorship to other data scientists)
Proven collaboration, business communication and project leading skills in a time-sensitive, fast-changing environment - you have a track record of being viewed as an analytics thought leader by business partners in solving complex cross-functional problems
Proven track record in synthesizing strategic insights to influence decision-making through data-centric presentations, and communicating effectively across business and technical domains (including to executive audiences)
Proven skills in extracting and manipulating large datasets using data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical software (e.g. R)
Proactive and results oriented - experience ramping up on new domains, proactive in identifying problems to solve and willing to go the extra mile to drive impact
Preferred Qualifications:
Advanced degree in Data Science or quantitative field
Experience in the infrastructure and capacity domain areas
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.
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 [email protected].
$177,000/year to $247,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Data Scientist, Finance Responsibilities:
Own and lead data science projects end-to-end in partnership with other data science, finance or cross-functional teams to inform and influence product investment decisions
Raise the bar of data science at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, forecasting), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
Build frameworks to analyze business implications, influence measurement standards and extrapolate experiment results into highly accurate and explainable forecasts
Navigate complex cross-functional situations and evaluate statistical analyses by other data science teams to reach alignment on objective business outcomes
Influence financial and product direction through clear and compelling presentations, including leadership
Minimum Qualifications:
Bachelor's degree in a directly related field, or equivalent practical experience
5+ years of experience in data science, quantitative analysis or predictive modeling to inform business/financial strategy
1+ years of experience as a technical lead (providing technical thought leadership or mentorship to other data scientists)
Proven collaboration, business communication and project leading skills in a time-sensitive, fast-changing environment - you have a track record of being viewed as an analytics thought leader by business partners in solving complex cross-functional problems
Proven track record in synthesizing strategic insights to influence decision-making through data-centric presentations, and communicating effectively across business and technical domains (including to executive audiences)
Proven skills in extracting and manipulating large datasets using data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical software (e.g. R)
Proactive and results oriented - experience ramping up on new domains, proactive in identifying problems to solve and willing to go the extra mile to drive impact
Preferred Qualifications:
Advanced degree in Data Science or quantitative field
Experience in the infrastructure and capacity domain areas
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.
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 [email protected].
$177,000/year to $247,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.