OfferUp is looking for an experienced and visionary Data Science Manager to lead and scale their high-impact Data Science team, working at the intersection of product, engineering, and business strategy to build intelligent systems that power their marketplace and advance data science maturity.
Requirements
- 8+ years of demonstrated experience with machine learning or data science, 5+ years managing a team
- Expertise with modeling in Python, and data manipulation in SQL
- Hands-on experience in predictive modeling and analyzes to solve real business problems
- Strong analysis, problem-solving, data structures, and algorithm development background
- Experience in the Trust & Safety, Risk domains, Search, Advertising or Experimentation
- Knowledge of the following: entity extraction, semantics in text, image recognition, recommender systems, ranking, LDA, classification
Responsibilities
- Serve as an analytics advisor to solve business problems using data.
- Partner with product, engineering, and design leaders to influence the roadmap with data-driven insights and ML strategy.
- Translate ambiguous business challenges into ML-driven solutions, from exploration to production deployment.
- Work with the executive team and business partners to define product requirements, provide analytical support, and create models to enhance the safety of our customers.
- Identify opportunities and execute results across the company in product search, personalization recommender, crime risk modeling, user reputation, etc.
- Contribute to the development of end-to-end experimentation-forward product improvements from conception/research, to offline testing, then live A/B testing and finally shipping to production.
- Leverage the latest machine learning technologies to solve complex business problems.
Other
- Develop and grow the data scientists on the team, helping them advance in their careers.
- Exceptional written and verbal communication
- Master's Degree in Computer Science, Mathematics, Statistics or a related technical field
