Backmarket

Senior Data Scientist - Pricing

Paris, Remote. Posted a month ago

The role

You will design, build, and scale AI-driven solutions to improve the marketplace. You will implement models and algorithms to optimize fees and pricing.

What you will do

  • Design and implement Machine Learning models and optimization algorithms for pricing levers
  • Own projects end to end from problem definition to presenting results
  • Collaborate with data scientists and backend engineers to translate models into production-ready features
  • Design and analyze experiments to measure the impact of fee strategies or model changes
  • Leverage statistical analyses to uncover actionable insights
  • Communicate work clearly to engineering, product, and business stakeholders

Required qualifications

  • At least 5 years of industry experience as a data scientist
  • Master’s or PhD in a quantitative discipline such as Statistics, Economics or Engineering
  • Experience contributing to data science projects in production
  • Ability to make decisions when problems are not fully defined or data is imperfect
  • Strong grasp of machine learning and statistical concepts
  • Practical expertise in experimentation design and analysis
  • Proficient in Python and SQL
  • Familiarity with software engineering principles around testing, code reviews, and deployment
  • Ability to explain complex ideas to diverse audiences including senior management

Nice to have

  • Experience in pricing, B2C marketplaces or revenue management

Benefits

  • Mission driven work environment
  • Hybrid work environment
  • Employee Resource Groups
  • Mentorship programs
  • Comprehensive accessibility policies
  • Cultural competency training

Before you apply

  • Call with one of our Tech recruiter (1h)
  • Technical screening (30 min)
  • Technical Interview (1h15)
  • Stakeholder interview (1h)
  • Meet your manager (30min)

About the company

Back Market is a global marketplace for refurbished devices. The company aims to make tech reliable, affordable, and better for the planet.