About this opportunity
Meta Platforms, Inc. lists this Data Scientist, GBG Data Science opportunity in austin, Texas. Review the employer’s description below for duties, qualifications and application requirements.
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
austin, TX, 78716, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.