Data Scientist, GBG Data Science

Job description

The team is made up of data scientists with a diverse set of backgrounds. Specifically, we have team members with various levels of academic attainment (Bachelor's, Master's and PhD), work experience, and professional backgrounds. The ideal candidate for this position is a versatile data scientist that excels in machine learning, statistical inference, data visualization, data analysis, and writing code. They should be excited to learn a complicated new technical domain and deploy a data science skill set to challenge core assumptions about that domain. They must have solid product intuition and be willing to talk to customers to develop and challenge that intuition. They will have a proven track record of analyzing and deriving insights from data. They will be intellectually curious, a great communicator, data-driven, a fast learner, and able to move fast while keeping focused on high-impact projects. As this team is fundamentally focused on R&D, the candidate must be comfortable with ambiguity and answering broad research questions.

Data Scientist, GBG Data Science Responsibilities

Apply analytical skills to complex quantitative problems, presenting and driving actions from insights to key stakeholders both reactively and proactively

Develop deep understanding of the Meta ads auction, analyzing a dynamic system and developing new optimizations for ad delivery and marketing strategies

Research applied machine learning questions in our ads ranking to improve system efficiency and drive company-wide understanding

Identify novel marketing strategies for improving advertiser performance across Meta's ads auction

Work closely with our sales and cross‑functional teams, as well as advertisers directly to build product intuition and to identify, analyze, and scale performance opportunities

Present polished findings and recommendations directly to stakeholders

Elevate key themes to our product teams and alpha testing of new opportunities

Minimum Qualifications

Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.

Experience doing statistical analysis (e.g. regression, probability) using tools such as Python, R, MATLAB, SPSS, SAS, Stata, etc.

Experience in building, validating, and deploying predictive models using machine learning libraries like scikit-learn, TensorFlow, PyTorch

Experience with data visualization tools such as Matplotlib, Seaborn, Tableau, etc

Experience in working with large datasets and using SQL or similar tools for data extraction and manipulation

Experience delivering and driving action based on data-driven insights

Experience influencing and partnering with stakeholders across organizations

3+ years of analytics experience

Preferred Qualifications

Advanced degree in an analytical field (such as Computer Science, Engineering, Mathematics, Statistics, Physics, Economics, Finance, etc)

Strong programming skills to prototype solutions that are deployed in production environments

Experience with experimental design

Experience with digital advertising or ads monetization

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

$134,000/year to $204,000/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.

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Worksite address

menlo park, CA, 94029, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.