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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Own end-to-end data science initiatives
- Build, operationalize, and improve machine learning models
- Evaluate and interpret the performance of ML models
- Conduct deep-dive analyses using advanced statistical methods
- Apply statistical modeling and AI-assisted analytics
- Communicate findings clearly to executives and stakeholders
- Contribute to technical best practices and team standards
- Partner with Data Engineering, Analytics, and Governance
Requirements
What you’ll need- 5+ years of experience in data science or applied statistics
- Strong background in experiment design, causal inference, predictive modeling
- Advanced SQL and Python skills
- Proven ownership of end-to-end data science and ML solutions
- Ability to work effectively in ambiguous, fast-changing environments
- Excellent communication skills
- Familiarity with AI-assisted workflows
Benefits
Comp & perks- health, dental, vision insurance
- short-term disability and life insurance
- paid holidays and paid time off
- fertility treatment benefit
- 401(k)
- equity
- eligibility for a discretionary company-wide bonus
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencemachine learningstatistical modelingadvanced SQLPythonexperiment designcausal inferencepredictive modelingAI-assisted analyticsadvanced statistical methods
Soft Skills
communicationownershipadaptabilitycollaborationproblem-solving
