Job Information
Meta Platforms, Inc. Manager, Data Science in NEW YORK, New York
Employer: META PLATFORMS, INC. (f/k/a Facebook, Inc.)Job Title: Manager, Data ScienceJob Code: REQ-2602-159550Job Location: New York, New YorkJob Type: Full-time, 9am 6pm, 40 hours a week, Monday FridaySalary: $289,786/year to $325,270/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 or equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta at this link: https://www.metacareers.com/benefits. Duties: Help build and lead data science teams on projects to deliver world-class products. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how users interact with our products. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. Manage development of data resources, gather requirements, organize sources, and support product launches and data science projects. Analyze data, business intelligence, and statistical results to identify actionable insights, suggest recommendations, and influence the direction of Facebooks product decisions and product launches by effectively communicating results to cross-functional groups, including Online Ops, Product, and Engineering teams. Will leverage data to provide insights about user behavior and to inform business decisions. Make business recommendations based on data mining on large, complex data sets and applying concepts in number theory, computational theory, data structures, and algorithms. Predict and understand user patterns through analytical and statistical metric analysis. Apply quantitative skills in predictive modeling, business intelligence analysis, A/B tests, regression models, and machine learning to gather data insights. Requirements: Requires a PhD degree (or foreign equivalent) in Applied Physics, Computer Science, Engineering, Sciences, Mathematics, Statistics, Physics, or related field. Requires completion of a university-level course, research project, internship, or thesis in the following: Machine learning techniques;Statistical analysis using R, MATLAB, SPSS, Python, or Perl;Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics;Communicating and presenting results of data analyses;Building and analyzing reports and key data sets to empower operations and exploratory analysis;Translating strategic questions into structured analyses, defining success metrics, and developing reporting;Building key statistical data sets to empower operational and exploratory analysis and automating analyses;Assisting in designing hypothesis testing experiments, analyzing data collected, and presenting results;Conducting ad hoc data analysis based on current team needs; andMentoring junior team members on defining problems and hypothesis, experimentation, and analytical skills. To apply, please send resume to the following email address SWApplicant@meta.com & include the job order number visible to you above in the subject line of the email. It is important to include the job order number in the subject line of the email. Also include the Ref code number: REQ-2602-159550