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Data Scientist, Finance

Company: Facebook
Location: Menlo Park
Posted on: June 13, 2021

Job Description:

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Facebook is seeking a highly quantitative, driven, and creative Data Scientist for the Finance Data Science team. The team and role provides a uniquely broad bird's eye view of Facebook's business, with a focus at the intersection of technical data science and strategic business domains. This role is focused on forecasting and analyzing revenue and pricing for the advertising business while partnering across Finance and Product. It plays a crucial role in enabling Facebook's leadership to have a data-driven understanding of key revenue trends in order to be equipped for strategic decision making. Our work also sets up and utilizes a metric-driven framework to align teams across the company to work collectively towards achieving our revenue goals.

The role will challenge the candidate to both understand and contribute to many facets of a rapidly growing business, including supply and demand dynamics, ad delivery system nuances, and industry-wide trends. Responsibilities will revolve around driving revenue forecasting, developing actionable insights for the business, conducting deep-dive analyses to quantify key revenue drivers, and influencing decision makers to enable revenue growth. This team partners closely with colleagues across Product, Engineering, Data Science and Finance to collectively analyze and drive revenue growth. Successful candidates will have exceptional analytical skills, technical fluency, bias toward action, exceptional partnering and communication skills, and the know-how to balance getting the details right while still moving fast.

Data Scientist, Finance Responsibilities

  • Analyze large datasets, interpret revenue and/or ad pricing trends, and identify actionable insights and opportunities.

Build, evaluate, monitor and refine revenue and/or ad pricing forecast models, with a focus on accuracy and explainability. Improve the team's rigor in understanding and explaining deviations relative to the forecast.

Provide deep analytic support and business context to identify and drive critical growth initiatives.

Perform deep-dive analyses of revenue or ad pricing drivers, including supply and demand effects, ad delivery system dynamics, and industry-level drivers.

Influence the direction of the business by effectively communicating results to the rest of the team and company leaders.

Present on business implications of analyses and forecasts in reviews with leaders across Facebook.

Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses, in order to increase efficiency of team's work flows.

Minimum Qualifications

  • Bachelor's Degree in a quantitative field (Economics, Math, Statistics, Engineering, Computer Science or similar discipline)

2+ years of experience in data science, analytics, or finance, conducting quantitative analysis

Work experience using SQL and R/Python to query, manipulate and analyze data sets

Academic or work experience with statistics (e.g. regressions, time series)

Experience with synthesizing and communicating narratives based on data-driven analyses

Experience with automating analyses and authoring pipelines via SQL and/or Python based ETL frameworks, as well as collaborating with Data Engineering on data infrastructure development

Experience shifting priorities while maintaining organization

Experience with communicating and collaborating with cross-team stakeholders

Preferred Qualifications

  • Advanced Degree in a quantitative field (Economics, Math, Statistics, Engineering, Computer Science or similar discipline)

4+ years' experience doing quantitative analysis

Experience in a fast-paced, large-scale company or experience with the digital ads business

Experience with building, evaluating and refining time series forecast models

Development experience in a scripting language (PHP, Python, Perl, etc.)


About the Facebook company

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

Facebook is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or who are neurodivergent, and to candidates with sincerely held religious beliefs or requiring pregnancy related support. If you need support, please reach out to

Keywords: Facebook, San Francisco , Data Scientist, Finance, Other , Menlo Park, California

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