Data Scientist

Skip to main content Data Scientist Meta Menlo Park, CA Apply Join or sign in to find your next job Join to apply for the Data Scientist role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Data Scientist Meta Menlo Park, CA 3 days ago 95 applicants See who Meta has hired for this role Apply Join or sign in to find your next job Join to apply for the Data Scientist role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Report this job Meta provided pay range This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $210,000.00/yr - $281,000.00/yr We're looking for a senior data scientist to be the analytical backbone of the team — defining the metrics that matter, running experiments, and turning data into the decisions that shape the product. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders.Data Scientist Responsibilities:Define the metrics and measurement framework for a new productbuild the dashboards and data foundations the team relies on.Design and analyze experiments (A/B tests)make clear, actionable recommendations.Dig into user behavior to find opportunities and explain what's driving the numbers.Partner with product, engineering, and design to turn questions into analyses and analyses into decisions.Raise the bar on analytical rigor and data quality across the team.Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceMathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)8+ years of experience in data science / product analyticsStrong SQL and a scripting language (e.g., Python)solid grounding in statistics and...