Data Scientist, Product Development
2 days ago
Company Overview: Meta Platforms, Inc. is a technology company that connects billions of people around the world. Our products help users share ideas, news, and experiences. We are looking for a talented Data Scientist, Product to join our team.
Salary: $188,856 - $196,900 per year + bonus + equity + benefits. Individual pay is determined by skills, qualifications, experience, and location.
Job Description:\
As a Data Scientist, Product, you will apply quantitative analysis, data mining, and presentation techniques to understand how Meta users interact with consumer and business products. You will mine massive amounts of data, perform large-scale data analysis, and extract useful business insights. Your goal is to inform, influence, support, and execute product decisions and launches by effectively communicating results to cross-functional groups.
Required Skills and Qualifications:\
• Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or related field\
• 2 years of experience in quantitative analysis techniques, data analysis, algorithm development, optimization, probability, statistics, machine learning, ETL processes, relational databases, SQL, and large-scale data processing infrastructure\
• Experience with R or Python ecosystems, packages like pandas, statsmodels, scikit-learn, tidyverse, R, MATLAB, or SAS\
• Technical presentation skills to influence technical and non-technical audiences\
• Working with cross-functional teams to choose/create metrics and set metric goals\
• Designing and executing experiments (e.g., A/B tests, country tests, network tests)
Benefits:\
Meta offers a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, paid time off, and more. Learn more about benefits at Meta at this link: https://www.metacareers.com/facebook-life/benefits
Others:\
This role requires a strong understanding of data analysis, machine learning, and statistical modeling. If you have experience working with large datasets and are passionate about using data to drive business decisions, we encourage you to apply.
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