Data Scientist

Mirage; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

Mirage is hiring two Product Data Scientists to ground product decisions in clear metrics and rigorous analysis. You’ll embed with either the iOS or web team, working day-to-day with Product, Design, Engineering, and Data Engineering, and help translate insights into action.

You’ll define success, design experiments, and communicate reasoning through dashboards and memos. We value AI fluency and the ability to elevate team rigor in a fast-moving environment.

Qualifications

• Bachelor’s degree in a behavioral or quantitative field or equivalent practical experience.
• 3+ years of experience in product analytics or product data science.
• Strong statistical foundation and data-model reasoning.
• Experience applying statistical analysis and experimental design to product problems.
• Fluency with AI tools in exploration, analysis, modeling, and automation.

Responsibilities

• Embed with iOS or web teams from planning through launch, defining hypotheses and metrics.
• Lead analysis to uncover patterns in product/user behavior and measure impact.
• Design and evaluate A/B tests and other product measurements for actionable decisions.
• Create executive-ready visualizations, dashboards, and decision memos.
• Build ML and statistical models to improve user experience and impact.
• Design AI-native tools and workflows to accelerate data science and enable self-service.

Skills

Product analytics

Statistical analysis

Experiment design

Effective communication

Cross-functional collaboration

Education

Bachelor’s degree in behavioral or quantitative field

Tools

SQL

Python

R

pandas

NumPy

SciPy

Tidyverse

Job description

We’re hiring two Product Data Scientists to ground the decisions behind Captions in clear metrics, rigorous analysis, and a deep understanding of how people use the product. One person will embed with our iOS team and the other with our web team, working day to day with Product, Design, Engineering, and Data Engineering.

You’ll be present as questions and product ideas take shape, not brought in after launch to explain what happened. You’ll define success, evaluate experiments, investigate user behavior, and turn ambiguous findings into clear recommendations. You’ll then follow them through by communicating the reasoning, building alignment, and making sure decisions result in action.

We care about analytical depth, product judgment, and the ability to make a team more rigorous. We work AI-first: Codex and Claude Code are part of the everyday workflow, and you’ll be expected to validate the work they help produce.

Key Responsibilities

• Embed with either the iOS or web team from planning through launch, defining hypotheses, success criteria, core metrics, and measurement approaches while partnering with Engineering and Data Engineering 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 on what happened and what the team should do next.
• 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.

Preferred Qualifications

• 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 and the ability to write and understand analytical code.
• Experience applying statistical analysis, experimental design, causal inference, and machine learning to product problems, with the judgment to choose an appropriately simple method and translate the result into a specific, actionable recommendation.
• Fluency using AI across exploration, analysis, experimentation, and modeling, including providing relevant context, debugging incorrect outputs, and converting repeatable work into reliable workflows.
• Strong written and verbal communication skills, including the ability to explain uncertainty and limitations, persuade technical and nontechnical partners, and lead decisions through to action.

Nice to Have

• 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: you pursue leads, find the people and context you need, operate through ambiguity, and follow work through from recommendation to action.