Data Scientist

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Early From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Data Scientist Campbell, CA, Campbell, California, United States 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

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