Data Scientist, Product

Union Square, New York City · 3+ years experience · Full-time · Posted Sep 29, 2026

At a glance

Mirage is hiring two Product Data Scientists to ground decisions for Captions in clear metrics, rigorous analysis, and a deep understanding of user behavior.
One person will embed with the iOS team and the other with the web team, collaborating daily with Product, Design, Engineering, and Data Engineering.
The role involves defining success, evaluating experiments, investigating user behavior, and translating ambiguous findings into clear recommendations.

Embed with either the iOS or web team from planning through launch to define hypotheses, success criteria, core metrics, and measurement approaches while partnering on instrumentation and data quality.
Lead analysis to uncover patterns in product and user behavior, prioritize high-leverage opportunities, recommend actions, and measure realized impact.
Design and evaluate A/B tests and other product measurements, setting appropriate guardrails and turning results into decisions.
Create executive-ready visualizations, dashboards, experiment readouts, and decision memos that drive alignment.
Build machine learning and statistical models to solve core user problems, improve the product experience, and deliver measurable user impact.
Design AI-native tools, systems, and automated workflows that accelerate data science and analytics while enabling self-service capabilities.

A bachelor's degree in a behavioral or quantitative field, or equivalent practical experience, with a strong statistical foundation.
3+ years of experience in product analytics or product data science, acting as the analytics voice within a consumer product team.
High proficiency in SQL and either Python or R, including libraries such as pandas, NumPy, SciPy, or Tidyverse, with strong data-model reasoning.
Experience applying statistical analysis, experimental design, causal inference, and machine learning to product problems.
Fluency using AI across exploration, analysis, experimentation, and modeling, including providing context and debugging outputs.
Strong written and verbal communication skills to explain uncertainty, persuade partners, and lead decisions through to action.

Experience with iOS or web analytics, including instrumentation, release measurement, funnels, or experimentation.
Experience with dbt, cloud data warehouses, and large event datasets.
Experience applying product analytics to a consumer creative product.
Experience building reusable AI-powered data science systems, such as agents, orchestration layers, automated analyses, or evaluation and review workflows.
Strong user empathy, curiosity, and excitement about learning in a fast-moving environment.
A proactive, independent working style to pursue leads and operate through ambiguity.