Data Scientist, Finance Menlo Park, CA • Online Operations • Finance +1 more Menlo Park, CA Onl[...]

Meta; Menlo Park (CA); On-site; USD 114,000 - 171,000; Full time

Job summary

An established industry player is on the lookout for a highly quantitative and analytical data scientist to join their Finance Data Science team. This pivotal role involves analyzing revenue drivers, building forecast models, and providing actionable insights that influence critical business decisions. The ideal candidate will possess strong technical expertise and business acumen, thriving in a fast-paced environment while collaborating cross-functionally. This dynamic position offers the opportunity to raise the quality of data science practices and mentor fellow data scientists, making a significant impact on the company's strategic initiatives.

Benefits

Bonus

Equity

Comprehensive Benefits

Qualifications

• 4+ years of experience in data science or quantitative analysis.
• Proven track record in synthesizing insights for decision-making.

Responsibilities

• Own and lead data science projects end-to-end.
• Build frameworks to analyze business performance and forecasts.
• Influence financial and product direction through presentations.

Skills

Data Analysis

Statistical Modeling

SQL

Python

R

Presentation Skills

Collaboration

Project Management

Education

Bachelor's degree in a quantitative field

Tools

Statistical Software

Job description

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.

Data Scientist, Finance Responsibilities

1. 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.
2. Build frameworks to analyze business performance, and statistical models to extrapolate historical trends into highly accurate and explainable forecasts.
3. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
4. Navigate complex cross-functional situations and evaluate statistical analyses by other data science teams to reach alignment on objective business outcomes.
5. Influence financial and product direction through clear and compelling presentations, including to leadership.
6. 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

1. Bachelor's degree in a quantitative field (Economics, Mathematics, Statistics, Computer Science, or similar discipline) or equivalent experience.
2. 4+ years of experience in data science, quantitative analysis, or predictive modeling to inform business/financial strategy.
3. 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).
4. Demonstrable work experience with statistics (e.g., regressions, time series, causal inference, econometrics).
5. 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).
6. Effective collaboration, business communication, and project leading skills.
7. Experience working independently in a results-oriented environment.

Preferred Qualifications

1. Prior experience in a fast-paced, large-scale company or previous experience with the digital ads business.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

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.

$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.

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.