Jobs · Engineering

Staff Data Scientist, Trust and Safety

Ladders · United States · 1 wk ago
RemoteRemoteEngineering$165k–$339k/yrFull-time

About the role

For our client, we are seeking a Staff Data Scientist, Trust and Safety to join the team of a leader in the Consumer Technology space. This role will focus on strengthening trust and safety through rigorous data science, experimentation, and scalable modeling approaches. You will partner closely with cross-functional teams to uncover opportunities, build robust evaluation frameworks, and translate insights into product and operational improvements. The position calls for a strong scientific mindset and the ability to influence decision-making across technical and non-technical stakeholders. This is an opportunity to shape data-driven work that supports a safer and more reliable consumer technology experience.

Location: Remote - US based candidates only, no visa sponsorship available

Responsibilities

  • Develop a comprehensive understanding of the trust and safety platform
  • Lead projects focused on trust and safety opportunities across various funnel stages
  • Design and implement scalable machine learning and evaluation frameworks
  • Establish best practices for experimentation and instrumentation
  • Apply scientific rigor to product development challenges
  • Build and prototype analysis pipelines for scalable insights
  • Collaborate with cross-functional teams to communicate key insights

Qualifications

  • 10+ years of experience in data analysis within a fast-paced, data-driven environment
  • Extensive background in Machine Learning, Statistical Modeling, Forecasting, or Econometrics
  • Strong scientific approach to data analysis with attention to detail
  • Proficient in SQL and a scripting language, such as Python or R, for data manipulation
  • Excellent communication skills for conveying insights to technical and non-technical audiences
  • Team-oriented with the ability to collaborate with cross-functional leadership
  • Bachelor's degree in Computer Science or a related field, or equivalent experience

Benefits

  • Flexible work environment with minimal in-office requirements
  • Commitment to an equitable and inclusive workplace
  • Access to a variety of resources for professional development
  • Opportunities for equity participation
  • Transparency in workplace culture and benefits

Pay

Compensation: $164,695 – $339,078 annually

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