Role overview
We are seeking a highly experienced Senior Data Scientist to drive insights and decision-making across our product and business landscape. In this role, you will lead end-to-end analytical initiatives, build predictive models, and transform raw data into strategic assets. You’ll collaborate closely with engineering, product, and executive teams to uncover opportunities, optimize performance, and scale intelligent features into our platform.

Responsibilities

  • Develop, deploy, and maintain predictive models and machine learning pipelines.

  • Analyze large datasets to extract actionable insights and drive data-informed decisions.

  • Collaborate with product managers, engineers, and designers to integrate data-driven features.

  • Communicate complex findings clearly to technical and non-technical stakeholders.

  • Own experimentation strategies (A/B tests, causal inference, etc.) to validate ideas.

  • Ensure data accuracy, integrity, and consistency across workflows.

  • Explore new data sources, tools, and methods to expand analytical capabilities.

  • Mentor junior data scientists and contribute to analytical best practices.

Required qualifications

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field.

  • 5+ years of experience in applied data science or machine learning roles.

  • Proficiency in Python, SQL, and modern ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

  • Experience working with large-scale data infrastructure (e.g., Spark, BigQuery, or Snowflake).

  • Strong understanding of statistics, experimental design, and data modeling.

  • Proven ability to partner with product and engineering teams.

  • Excellent communication and storytelling skills using data.

What we offer

  • Competitive salary and performance-based bonuses.

  • Flexible work arrangements and remote-friendly culture.

  • Annual learning budget for courses, books, and conferences.

  • Smart, driven teammates who care about outcomes over ego.