Data Scientist - Behavioral Modeling & User Growth

business Meta location_on Menlo Park, CA (Remote) home_work Remote Full Time

Compensation

$170K – 235K/yr

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Published Date

2 weeks ago

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Work Arrangement

Remote • Menlo Park, CA

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Open Positions

2 openings

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Experience Level

Senior

overview Role Overview

About the opportunity

Discover foundational product engagement trends and model social connection dynamics across billions of interactions.

At Meta, Data Scientists bridge the gap between technical machine learning and product strategy. You will identify macro-level user retention factors, build predictive lifetime value models, and lead continuous metric definition across global communication and creator applications.

task Core Responsibilities

What you will do

check_circle Lead end-to-end exploratory analysis and causal investigations on user adoption and churn mechanics.
check_circle Develop predictive retention models and cohort segmentation frameworks used by VP-level leadership.
check_circle Formulate hypothesis testing plans for multi-platform mobile feature rollouts.
check_circle Build automated metric monitoring suites that detect regional engagement shifts.

verified_user Candidate Profile

What we are looking for

arrow_circle_right 5+ years experience in product data science, quantitative analysis, or econometric modeling.
arrow_circle_right Advanced SQL skills and expert coding ability in Python or R.
arrow_circle_right Proven ability to influence senior technical roadmaps through clear narrative-driven analytics.

code_blocks Technologies & Competencies

Skills & Tech Stack

Product Analytics Causal Inference SQL Python User Retention Statistics

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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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