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Reflow

Data Scientist

Reflow

Data Scientist responsible for designing algorithms powering a workforce intelligence platform. Collaborating across teams to translate complex data into actionable insights and automation.

Posted 4/15/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • Competitive pay based on the market
  • Open to part-time or full-time work

ATS Keywords

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Hard Skills & Tools
data sciencemachine learningadvanced analyticsstatisticsmodelingexperimental designPythonSQLdata modelingdata analysis
Soft Skills
collaborationproblem-solvingcommunicationadaptabilitycritical thinkingcreativityteamworkleadershipanalytical thinkingattention to detail