Data Scientist - User Behavior & Growth Analytics

business Meta location_on Remote — USA (Remote) home_work Remote Full Time

Compensation

$90K – 120K/yr

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Published Date

1 week ago

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Work Arrangement

Remote • Remote — USA

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Open Positions

2 openings

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Experience Level

Associate / Mid

overview Role Overview

About the opportunity

Analyze large-scale product telemetry to understand user engagement patterns and run statistical experimentation.

Meta is looking for a Data Scientist to join our growth analytics team. You will leverage massive engagement data to identify growth drivers, design rigorous A/B experiments, and build predictive propensity models. You will partner with product managers and engineers to optimize user experience.

Key Focus Areas:
• Hypothesis design, sample sizing, and statistical significance analysis for web/mobile tests.
• Predictive modeling of user conversion, churn, and feature adoption.
• Automated reporting dashboards built with Python and SQL.
• Translating complex metrics into clear executive product recommendations.

task Core Responsibilities

What you will do

check_circle Design, execute, and analyze multivariate A/B tests across web and mobile platforms.
check_circle Query multi-terabyte datasets using Presto, Hive, and SQL to extract actionable insights.
check_circle Build machine-learning classification and regression models to predict user retention.
check_circle Build automated reporting dashboards and deliver strategic recommendations to leadership.

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What we are looking for

arrow_circle_right Bachelor’s degree in Statistics, Economics, Computer Science, or equivalent quantitative field.
arrow_circle_right 2+ years experience in product analytics or data science.
arrow_circle_right High proficiency in SQL and Python (pandas, statsmodels, seaborn).
arrow_circle_right Strong grasp of causal inference, hypothesis testing, and statistical significance.

code_blocks Technologies & Competencies

Skills & Tech Stack

Python SQL A/B Testing Statistics Product Analytics Data Visualization

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Why candidate applications stand out

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Verified Technical Credentials

Applications include direct proof-of-work repositories and instructor verification endorsements.

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Fast-Track Hiring Visibility

Direct internal referral channels through enterprise partners bypass automated resume discard filters.

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Submit your résumé (PDF, DOC or DOCX up to 5 MB) for direct consideration by the Meta hiring team.

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