Job Information
Meta Platforms, Inc. Data Scientist, Product in New York, New York
Employer: META PLATFORMS, INC. (f/k/a Facebook, Inc.)Job Title: Data Scientist, ProductJob Code: REQ-2410-143600Job Location: New York, New YorkJob Type: Full-time, 9am - 6pm, 40 hours a week, Monday - FridaySalary: $188,856/year to $196,900/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 quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with consumer and business products. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior. Build models of user behaviors for analysis or to power production systems. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. Design and implement dashboards and reports that track key business metrics and provide actionable insights. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta.Requirements: Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2 years of experience in the job offered or a computer-related field. Experience must include 2 years of experience in the following: 1. Quantitative analysis techniques: clustering, regression, pattern, recognition, or descriptive and inferential statistics;2. Data analysis and algorithm development;3. Optimization, probability, statistics, or machine learning;4. ETL (Extract, Transform, Load) processes;5. Relational databases and SQL;6. Large scale data processing infrastructure using distributed systems ( Hive or Teradata) 7. Experience with data analysis and statistical modeling using the R or Python ecosystems, with packages such as pandas, statsmodels, scikit-learn, tidyverse (dplyr, ggplot2, etc.),R, MATLAB or SAS8. Technical presentation skills;9. Working with cross-functional teams to choose/create metrics and set metric goals; and10. Designing and executing experiments (e.g. A/B tests, country tests, network tests)11. Technical presentation skills to influence technical and non-technical audiences (engineers, data scientists, program managers, marketers)
Minimum Salary: 188,856 Maximum Salary: 196,900 Salary Unit: Yearly