Job Information
Meta Platforms, Inc. Data Scientist, Analytics in New York, New York
Employer: META PLATFORMS, INC. (f/k/a Facebook, Inc.)Job Title: Data Scientist, AnalyticsJob Code: REQ-2409-141580Job Location: New York, New YorkJob Type: Full-time, 9am - 6pm, 40 hours a week, Monday - FridaySalary: $217,749/year - $235,400/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/facebook-life/benefits.Duties:Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. Inform, influence, support, and execute our product decisions and product launches. The Data Scientist Analytics role has work across the following four areas: Product Operations: Forecasting and setting product team goals, designing and evaluating experiments, monitoring key product metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, building key data sets to empower operational and exploratory analysis, and evaluating and defining metrics; Exploratory Analysis: proposing what to build in the next roadmap, understanding ecosystems, user behaviors, and long-term trends, identifying new levers to help move key metric, and building models of user behaviors for analysis or to power production systems; Product Leadership: influencing product teams through presentation of data-based recommendations, communicating state of business, experiment results, etc. to product teams and spreading best practices to analytics and product teams; and Data Infrastructure: working with database language such as SQL to automate analyses and authoring data pipelines via Python for continuous data reporting and updated analyses.Requirements:Requires a Master's degree in Computer Science, Mathematics, Statistics, Operations Research, or a related field and 12 months of experience in the job offered or in a data science-related occupation. Requires 12 months of experience in the following:1. Quantitative analysis within a large-scale company or fast-paced environment;2. SQL or other programming languages; and3. Communicating the results of analyses with product and leadership teams to influence the strategy of the product.
Minimum Salary: 217,749 Maximum Salary: 235,400 Salary Unit: Yearly