jobapplier

Data Scientist (Product)

Mirage

Skills

Required

  • product analytics / product data science
  • machine learning
  • instrumentation
  • data science
  • workflows
  • SQL
  • Python
  • pandas / NumPy / SciPy / Tidyverse
  • data-model
  • statistical analysis
  • experimental design
  • causal inference

Preferred

  • AI
  • Data Engineering
  • lead analysis
  • A/B tests
  • decision memos
  • modeling

Join our team as a Data Scientist (Product) and work closely with either the iOS or web team from planning through launch.

Responsibilities

  • You will define hypotheses, success criteria, core metrics, and measurement approaches while partnering with Engineering and Data Engineering on instrumentation and data quality.
  • You will lead analysis to uncover patterns in product and user behavior, prioritize high-leverage opportunities, recommend actions, and measure realized impact.
  • Additionally, you will design and evaluate A/B tests, create executive-ready visualizations, dashboards, and decision memos, build machine learning and statistical models, and design AI-native tools and systems.
  • Collaborer avec les équipes de développement pour définir des hypothèses, des critères de succès et des approches de mesure.
  • Diriger l'analyse pour découvrir des modèles dans le comportement des utilisateurs et recommander des actions.
  • Concevoir et évaluer des tests A/B et d'autres mesures de produit, en transformant les résultats en décisions.
  • Fluency using AI across exploration, analysis, experimentation, and modeling, including providing relevant context, debugging incorrect outputs, and converting repeatable work into reliable workflows

Requirements

  • 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
  • A bachelor’s degree in a behavioral or quantitative field, or equivalent practical experience, with a strong statistical foundation
  • 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
  • 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
  • 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

Pay

USD 120,000 - 180,000