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Morgan McKinley

Data Scientist

Morgan McKinley
United Kingdom · Contract · Mid-Senior

Data Scientist

London (Hybrid) | Approx. £130,000


Join a global tech leader building cutting-edge products across social media, messaging, and immersive technologies. As part of the Integrity & Support organization, this role helps reduce harmful experiences on the platform through enforcement actions such as content takedowns, account restrictions, and feature limits.


Role Overview


As a Data Scientist, you will drive strategic and operational improvements in how enforcement actions impact users and advertisers. You’ll collaborate with Product, Engineering, and Design teams to deliver data-driven insights that shape scalable, user-centered solutions—balancing platform safety, user trust, regulation, and business impact.


Key Responsibilities


  • Analyze complex data sets to inform product decisions and optimize enforcement mechanisms.
  • Collaborate cross-functionally to identify opportunities for improving user experience post-enforcement.
  • Define success metrics, perform root-cause analysis, and communicate strategic insights.
  • Support the design and measurement of scalable systems that maintain trust, reduce harm, and meet regulatory requirements.
  • Ensure alignment across teams on data-driven recommendations and support implementation.


What We’re Looking For


  • Passionate about building trustworthy, supportive user experiences within platform integrity.
  • Comfortable navigating large-scale systems and competing priorities (e.g. voice, safety, regulation, revenue).
  • Strong analytical, problem-solving, and storytelling skills.
  • Hands-on approach to exploring data, identifying gaps, and improving measurement systems.


Qualifications


  • Master’s degree in a quantitative field (e.g., Computer Science, Engineering, Mathematics, Analytics).
  • Proficient in SQL and Python.
  • Experience with statistical tools (e.g., R, SAS, or Matlab) and A/B testing.
  • Skilled in advanced analytics techniques such as clustering, regression, or pattern recognition.
  • Experience working with large-scale data in a fast-paced, product-focused environment.

Key Skills

Ranked by relevance

storytelling matlab sql sas
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Posted
Jun 06, 2025
Type
Contract
Level
Mid-Senior
Location
London Area

Industries

Technical Vocational Training

Categories

Analyst

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