
Data Scientist
Reflow
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- Design and build algorithms that power Reflow’s core intelligence and analytics capabilities.
- Develop models to pre-label, classify, and structure data, reducing the need for manual setup by users.
- Collaborate with machine learning engineers to productionize models and integrate them into scalable systems.
- Partner with product and engineering to translate business problems into data-driven solutions.
- Build and iterate on models that generate insights, predictions, and recommendations.
- Help define and improve data structures that support modeling, analysis, and automation.
- Work on improving the SOP driven experience by reducing manual steps and increasing automation.
- Analyze complex datasets to identify patterns, trends, and opportunities for product value.
- Continuously evaluate model performance and iterate to improve accuracy, reliability, and impact.
- Ensure solutions are efficient, scalable, and aligned with real-world workflows and user needs.
Requirements
- Experienced in applied data science, machine learning, or advanced analytics in a product-driven environment.
- Strong foundation in statistics, modeling, and experimental design.
- Hands-on with Python and common data science libraries.
- Comfortable building and evaluating models that move into production.
- Strong SQL skills and ability to work with large, complex datasets.
- Able to translate ambiguous problems into structured, data-driven solutions.
- Collaborative and comfortable working across engineering, product, and leadership teams.
Benefits
- Competitive pay based on the market
- Open to part-time or full-time work
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencemachine learningadvanced analyticsstatisticsmodelingexperimental designPythonSQLdata modelingdata analysis
Soft Skills
collaborationproblem-solvingcommunicationadaptabilitycritical thinkingcreativityteamworkleadershipanalytical thinkingattention to detail