About The Position

We are seeking a Data Scientist with experience manipulating large tabular and user-behavior datasets. This role is centered on bridging the gap between raw data and high-quality machine learning inputs, requiring a blend of technical expertise and cross-functional leadership. You will play a key role in ensuring data is correctly structured, validated, and aligned with product and machine learning goals, enabling the development of robust and scalable models.

Requirements

  • Master's or Bachelor’s Degree or certification in Data Science or related computational sciences field.
  • 3+ years of relevant industry experience in a fast paced, high growth tech environment.
  • Proven experience as a Data Scientist in a fast-paced environment.
  • Prior experience in industries with complex multi-disciplinary teams such as robotics, streaming services, game development, search engines, and eCommerce.
  • Fluency with Python, Git, and the Unix shell.
  • Familiarity with collaborative tools such as Jira/Confluence, Slack, a Git server, and an experiment tracking framework.
  • Familiarity with data visualization and inspection tools specifically designed for user behavior.
  • Deep understanding of data science fundamentals and a strong mathematical background.
  • High attention to detail and commitment to data accuracy.
  • Ability to collaborate effectively across different engineering disciplines to define and execute technical requirements.

Responsibilities

  • Work with partner ML and Product engineers and TPMs to spec out data and training requirements.
  • Ensure that datasets are correctly curated, filtered, and processed to meet the rigorous standards of production-level machine learning.
  • Act as a technical translator, taking high-level project goals and turning them into actionable data specs for engineering and annotation teams.
  • Maintain high standards for data integrity, ensuring that the behavioral datasets used for training are representative and accurate.
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