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Tech Stack
Tools & technologiesGoSQL
About the role
Key responsibilities & impact- Solve real business problems with data: Own end-to-end data science work, from problem framing and data exploration to modeling, validation, and production impact.
- Lead high-impact initiatives: Drive complex efforts such as vendor leakage detection and prevention, delivering measurable revenue or cost improvements.
- Innovate on methods and approaches: Go beyond standard analyses by developing new metrics, models, or workflows when existing approaches fall short.
- Build and productionize models: Design, build, and support production ML or LLM-powered solutions in collaboration with engineering and product partners.
- Work deeply with data: Use SQL fluently to explore large datasets, build reliable data assets, and validate results.
- Influence cross-functionally: Partner with Product, Engineering, Finance, and Operations to align on goals, tradeoffs, and execution plans.
- Set technical direction (especially at L7): Raise the bar for data science quality, scalability, and impact across the organization through mentorship, design reviews, and technical leadership.
Requirements
What you’ll need- Proven track record of hands-on data science impact on real-world problems, not just research or dashboards.
- Strong proficiency in SQL, with experience working directly on complex, large-scale datasets.
- Experience building, shipping, or supporting production ML systems, preferably some exposure to LLM-based products or workflows.
- Ability to independently scope ambiguous problems, identify the right data and methods, and drive work to completion.
- Strong communication skills, with the ability to explain complex analyses and models to non-technical stakeholders.
Benefits
Comp & perks- Work from anywhere in the US! Machinify is digital-first.
- Top Medical/Dental/Vision offerings
- FSA/HSA
- Tuition reimbursement
- Competitive salary, 401(k) with company match
- Unlimited PTO
- Additional health and wellness benefits and perks
- Flexible and trusting environment where you’ll feel empowered to do your best work
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 scienceSQLmachine learningLLMmodelingdata explorationdata validationproduction ML systemsmetrics developmentworkflow design
Soft Skills
communicationproblem-solvingleadershipcross-functional collaborationmentorshipinfluencetechnical directionindependent workscope managementanalytical thinking
