Data Scientist, Analytics – Marketplace Search

Website Facebook

Facebook’s mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we’re building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we’re creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we’re just getting started.
The mission of the Marketplace team is to connect people through commerce across our family of apps. With over 800 million monthly active users and in over 70 countries, Marketplace is one of the fastest growing products at Facebook. In the commerce world, customer intent understanding and personalized recommendations are keys to improve user experience by showing them most relevant products at the best time. The mission and focus for Marketplace IQ team is to seamlessly integrate Machine Learning into Marketplace to enhance both buyer experience and seller experience.
We are looking for strong Data Scientists to help the team to optimize the whole shopping/selling journey on Facebook through ML Ranking systems. This role works closely with both product team and engineering team to identify opportunities in current ML delivery system and further improve it. Successful candidates for this role will have a background in a quantitative or technical field, will have experience working with Natural Language Processing (NLP) and Ranking/Recommendation System, and will have experience in influencing decision making across different teams through data.
  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
  • Define problems and opportunities in a complex or ambiguous area.
  • Inform, influence, support, and execute our product decisions and product launches.
  • Partner with Product and Engineering teams to solve problems and identify new levers to improve user experience.
  • Monitoring key product metrics, understanding root causes of changes in metrics.
  • Influencing product teams through presentation of data-based recommendations, and clearly communicating state of business, experiment results, etc. to product teams.
  • Advanced degree in Computer Science, Engineering, Math/Statistics, Physics, Economics, or equivalent experience.
  • 7+ years experience solving analytical problems using quantitative approaches.
  • Experience in SQL or other programming languages.
  • Knowledge of statistics (e.g., hypothesis testing, regressions, ML systems).
  • Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product.
  • Experience in machine learning, recommendation systems, statistical analysis, and natural language processing (NLP).
  • Development experience in any scripting language (Python, R, etc.).
  • Experience with distributed computing (Hive/Hadoop).

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