Data Scientist
About the role
- 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 innovationA 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 SQLTheoretical 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
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
