Applied Scientist
New
Based in the United StatesFull-TimeSenior
Salary$126,000 to $206,000
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Job Details
- Experience
- 5+ years of experience
- Required Skills
- PythonSQLData engineeringBigQuerydbt
Requirements
- 5+ years of experience in applied data science, analytics engineering, or quantitative modeling
- Strong proficiency in SQL with experience working on large-scale datasets
- Solid foundation in statistics, experimental design, and causal inference methodologies
- Strong programming skills in Python (pandas and data science ecosystem)
- Experience building and deploying predictive models in production environments
- Ability to communicate findings clearly to stakeholders
- Hands-on experience with LLMs or AI tools
- Understanding of analytics engineering practices (version control, testing, documentation)
- Advanced degree in a quantitative field preferred
Responsibilities
- Partner with commercial, finance, and executive teams to define and solve high-impact business problems through structured analytical approaches
- Design and execute causal inference studies, experiments, and quasi-experimental analyses
- Build, maintain, and optimize large-scale data models and pipelines using SQL and modern data tooling
- Develop predictive models for demand forecasting, market share, and commercial performance
- Apply advanced analytics to evaluate pricing elasticity, promotional effectiveness, and category economics
- Leverage LLMs and AI systems to structure unstructured commercial data and build internal tools
- Collaborate with cross-functional stakeholders to ensure insights are translated into actionable business decisions
- Establish scalable, well-documented analytical frameworks and best practices
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