Data Scientist, Finance

2 days ago


Menlo Park, California, United States META Full time
Job Summary:

Meta is seeking a highly skilled Data Scientist to join the Finance Data Science team. As a key member of the team, you will be responsible for 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 influence strong financial decision making.

Key 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, 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 to leadership.

Requirements:

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.
Bachelor's degree in a directly related field, or equivalent practical experience.
Effective collaboration, business communication and project leading skills, with 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.
Expert-level skills in extracting and manipulating large datasets using data querying languages, scripting languages, and/or statistical software.
Highly self-motivated and results-oriented, with experience ramping up on new domains and willing to go the extra mile to drive impact.

Preferred Qualifications:

Advanced degree in Computer Science/Data Science or quantitative field.
Experience in the infrastructure and capacity domain areas.

Compensation:
$173,000/year to $242,000/year + bonus + equity + benefits

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