Hybrid Senior Data Scientist – Pricing, Quality

Posted last month

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About the role

  • Collaborate with data scientists and software engineers to build new product features using machine learning, LLMs, and statistical techniques.
  • Drive high-impact projects from problem definition through metrics development, data extraction, model implementation, and presenting results to stakeholders.
  • Develop, deploy, and maintain machine learning models and pipelines at scale—including both batch and real-time applications.
  • Design and analyze experiments to measure the impact of new features or model changes.
  • Leverage deep dive statistical analyses to uncover actionable insights and inform critical tech and product decisions
  • Communicate your work clearly to engineering, product, and business stakeholders.

Requirements

  • At least 3 years of industry experience as a data scientist and Master’s (or PhD ) in a quantitative discipline such as Statistics, Economics or Engineering
  • Impact-driven: You’ve contributed to data science projects that made a real impact on live, customer-facing products — not just in theory, but in production.
  • Strong grasp of machine learning and statistical concepts and know how to choose the right model for the problem and make it work in a production environment.
  • Practical expertise in experimentation design and analysis.
  • Proficient in Python and SQL, and familiarity with software engineering principles around testing, code reviews, and deployment.
  • Clear communicator: You are comfortable explaining complex ideas and results to diverse audiences.

Benefits

  • Flexible work arrangements

Job title

Senior Data Scientist – Pricing, Quality

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Postgraduate Degree

Tech skills

Location requirements

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