Aven Data Scientist
Quick Facts...
Focus: Asset-Backed Credit Cards
Funding: $140+ million, Series C
Headquarters: Campbell, CA
Website: https://www.aven.com/
Are you ready to make a profound impact through data?
We're on the hunt for an experienced and driven Data Scientist ready to take on impactful individual contributor responsibilities and shape the future of our company. As a Data Scientist at Aven, you'll have the opportunity to delve into rich datasets, extract valuable insights, and influence key strategic decisions. With your expertise in machine learning, statistical analysis, and data visualization, you'll be instrumental in driving innovation and propelling our business forward. If you're passionate about leveraging data to solve real-world problems and thrive in a collaborative environment, we'd love to hear from you.
We’re looking for someone with
• 5+ years of data science experience with a track record of thought leadership and innovation
• A PhD or MS in a quantitative field (e.g., Engineering, Mathematics, Natural Sciences, or Economics)
• Expert knowledge of a scientific computing language (such as R or Python) and SQL
• Theoretical and applied expertise in statistics, machine learning and experimental design
• Excellent written and verbal communication skills
• Experience designing and implementing complex modeling solutions from ideation to production at scale
• Experience influencing high-impact decisions
• Strong project management and organizational skills
You will
• Partner across the company with Product, Engineering, Marketing, Sales, Finance and Data Science teams to shape product strategy using rigorous scientific solutions
• Apply statistical, machine learning and econometric models on large datasets to:
• measure results and outcomes
• identify causal impact and attribution
• predict future performance of users or products
• Design, implement and launch innovative data science solutions to empower data-driven decisions at scale
• Design, analyze, and interpret the results of experiments
• Develop key metrics and observability for Stripe products
• Drive the collection of new data and the refinement of existing data sources
• Create analyses that tell compelling stories and inspire action
Campbell CA USA