Data Scientist

Job Description

We are seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. Your role will be pivotal in shaping our product strategy using robust scientific methodologies. Leveraging your expertise in statistical analysis, machine learning, and econometric modeling on extensive datasets, you will measure outcomes, identify causal impacts, predict future performance, and design innovative data-driven solutions.

In this role, 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 Aven products

• Drive the collection of new data and the refinement of existing data sources

• Create analyses that tell compelling stories and inspire action

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

Aven is a proud Equal Opportunity Employer. Aven does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status or any other protected status under the law.