Data Science Manager

Summary

Join OfferUp's Data Science team as a visionary manager to lead and scale its high-impact efforts. You will collaborate with product, engineering, and business strategy teams to build intelligent systems for the marketplace. As a leader, you will enhance data science maturity, drive ML innovation, and create scalable solutions impacting millions of users. This role offers the chance to solve business problems using data, translate challenges into ML solutions, and contribute to product improvements. You will also develop and grow the data science team. This position can be hybrid in Bellevue, WA or remote in Miami, FL.

Requirements

• Exceptional written and verbal communication
• 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
• Master’s Degree in Computer Science, Mathematics, Statistics or a related technical field
• 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
• Develop and grow the data scientists on the team, helping them advance in their careers

Benefits

• Health insurance
• Healthcare savings and spending accounts
• Retirement savings benefits (401(k) plan with match)
• Basic and voluntary life insurance
• Disability benefits
• Paid time off for sick leave, family and/or medical leave, vacation, and 12 company holidays
• Flexible vacation policy
• 12 days (96 hours) of sick time per year