Job description
OfferUp is looking for an experienced and visionary Data Science Manager to lead and scale our high-impact Data Science team. You’ll work at the intersection of product, engineering, and business strategy to build intelligent systems that power our marketplace. As a leader, you’ll be responsible for advancing our data science maturity, driving innovation in core ML capabilities, and enabling trustworthy, scalable solutions that shape how millions of users transact safely and efficiently.
This role can be in Bellevue, Washington (hybrid) or remote in Miami, Florida
Here’s more of what you will get to do:
- 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.
- Exceptional written and verbal communication
You’ll thrive in this role if you have:
- 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
Target Compensation: $225k-$240k
OfferUp offers a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. Individual salaries within our ranges are determined through a variety of factors including, but not limited to education, experience, knowledge, skills and geography. All roles will receive equity in OfferUp as part of their compensation, the amount of equity varying depending on the individual’s level and experience.
In addition to our compensation package, this role is eligible to enroll in health insurance, healthcare savings and spending accounts, retirement savings benefits (401(k) plan with match), basic and voluntary life insurance, disability benefits, and paid time off for sick leave, family and/or medical leave, vacation, and 12 company holidays. In regard to vacation time, OfferUp has a flexible vacation policy, and, in general, full-time exempt employees will be expected to take 3-5 weeks (15-30 days) of pre-planned vacation time per year. Vacation needs are flexible and will naturally vary from year to year based on individual circumstances and business needs. In regard to sick time, all full-time employees (exempt and non-exempt) will be granted 12 days (96 hours) of sick time per year (pro-rated if they start a date other than January 1). Your recruiter can share more details about specific benefits during the interview process.
About OfferUp:
OfferUp is dedicated to creating the simplest and most trusted way for people to buy, sell, and connect in their local communities. One of the top local marketplace apps for local buyers and sellers in the U.S., OfferUp makes it easy for people to discover more of what they need—from great deals and secondhand goods to jobs, services, home rentals, and more—right in their own communities. Our trusted platform empowers millions to connect, thrive, and move life forward.
Available on iOS and Android, OfferUp has consistently ranked among the top shopping apps. Founded in 2011 and based in Bellevue, WA, OfferUp serves local markets nationwide and was used by more than 1 in 6 adults in the U.S. in 2024. OfferUp is backed by leading investors, including Andreessen Horowitz, Warburg Pincus, GGV Capital, T. Rowe Price, and Coatue Management. https://about.offerup.com
More About OfferUp At a Glance
- Top 10 Shopping app in the App Store and Google Play Store for three years
- 15%+ of adults in several major markets use OfferUp every month (LA, Miami, Phoenix, Seattle, Las Vegas, Riverside, Orlando)
- OfferUp works directly with nearly 2000 US law enforcement agencies to build trust in local communities
OfferUp is unleashing the power of local, and we’ve built a dynamic team to do it. To learn more about working at OfferUp, check out https://about.offerup.com/people
OfferUp provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, OfferUp complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, and training.
OfferUp expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of OfferUp’s employees to perform their job duties may result in discipline up to and including discharge.
