hirly

Aven

Data Scientist

Campbell, CA

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Role family
Data & ML
Seniority
Mid level
Country
US
Work mode
On-site / unstated
First seen by hirly
4 Sept 2026

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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

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Data Scientist at Aven — hirly