About Trove Recommerce

Recognized in 2020 by FastCo as one of the world's most innovative companies, Trove powers resale for the world's most inspired brands and retailers.  We provide brands with the technology and logistics to own the secondary market for their products.  With our white-label capabilities, our partners reap the rewards of managing their own resale market by accelerating long-term revenue, increasing customer loyalty, gaining new customers and boosting store and site traffic.  Resale is a revenue and customer engagement opportunity growing at 5 times the rate of e-commerce and 21 times the rate of traditional retail.  We power in store and online retail for leaders such as Patagonia, REI, Eileen Fisher, Arc’teryx, and Levi's.

About the Data Scientist Role

In this role, you will solve brand new problems in the fastest-growing segment of the retail industry. You will help redefine how supply and demand are measured within retail and build strategically vital algorithms to improve our operational efficiency.  You will play a key role in setting up the systems and processes that will allow us to efficiently and effectively scale our data science efforts, but will have plenty of support on baseline data availability and infrastructure. 

Responsibilities include…

• Reframe business objectives as statistical learning tasks that can deliver actionable insights, accurate predictions, and effective optimization
• Be a thought leader in experimental design, causal analysis, and statistical hypothesis testing
• Design, build and deploy machine learning solutions that can operate at scale
• Write code that is well tested, modular, and maintainable
• Make statistically grounded recommendations to senior leadership and cross-functional teams to  help improve Trove’s operations

Projects might include…

• Designing and evaluating experiments across a broad spectrum of company-wide initiatives
• Develop algorithms for detecting and mitigating adversarial behavior in the item trade-in process
• Design and deploy a system for identifying and classifying one-of-a-kind used items
• Assist with the continuous development of our internal pricing algorithms 

As for necessities, you have a/an/the...

• Strong grasp of statistical analysis and methods (experimentation, probabilities), including design of experiments
• Understanding of machine learning algorithms and their practical trade-offs
• Ability to communicate complex data science concepts and tradeoffs to relevant stakeholders.
• Bias to action. You understand that perfect is the enemy of good. You are comfortable shipping basic but effective solutions and improving via future iterations.
• Technical competence with SQL and either Python or R

Bonus points if you...

• Some industry experience as a data scientist, including deploying and maintaining code in a production environment
• Experience with agile engineering best practices, including version control, appropriate testing and continuous integration
• Demonstrated professional or academic experience with at least one of causal analysis, reinforcement learning or computer vision

Trove is proud to be an equal opportunity company and is an affirmative action employer. We believe that diversity and gender balance will help us reach our potential. We are committed to equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. We will consider qualified applicants with arrest and conviction records for employment.