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Data Scientist, Finance

AT Meta
Meta

Data Scientist, Finance

Menlo Park, CA

Meta is seeking a highly quantitative, analytical, and motivated data scientist for the Finance Data Science team. The Finance Data Science 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 revenue drivers, understanding the ads ecosystem, building forecast models, and developing actionable insights to influence decision making. The role is highly cross-functional and partner facing, involving coordination across a variety of data science, product, and finance teams. Ideal candidates are highly motivated and have a track record of delivering actionable and data-driven insights; you will effectively combine technical expertise and business acumen, and drive to results in a fast-paced, dynamic environment. As an 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.

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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.
  • Build frameworks to analyze business performance, and statistical models to extrapolate historical trends into highly accurate and explainable forecasts.
  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
  • 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.
  • 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.
Minimum Qualifications:
  • Bachelor's degree in a quantitative field (Economics, Mathematics, Statistics, Computer Science, or similar discipline) or equivalent experience
  • 4+ years of experience in data science, quantitative analysis, or predictive modeling to inform business/financial strategy.
  • Previous experience extracting and manipulating large datasets using data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical software (e.g., R).
  • Demonstrably work experience with statistics (e.g., regressions, time series, causal inference, econometrics).
  • Proven track record in synthesizing insights to influence decision-making through data-centric presentations, and communicating effectively across business and technical domains (including to leadership audiences).
  • Effective collaboration, business communication, and project leading skills
  • Experience working independently in a results-oriented environment
Preferred Qualifications:
  • Advanced degree in a quantitative field.
  • Prior experience in a fast-paced, large-scale company or previous experience with the digital ads business.
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 accommodations-ext@fb.com.

$114,000/year to $171,000/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.

Client-provided location(s): Menlo Park, CA, USA
Job ID: a1KDp00000E2SshMAF
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)

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