Reflow
Data Scientist
Canada · Part-time
Sponsorship not specifiedDetected 98 days ago
PythonData StructuresAlgorithmsSQLMachine LearningData ScienceStatisticsProcess ImprovementLeadership
About the role
- Collaborative and comfortable working across engineering, product, and leadership teams.
- You'll work directly with founders and engineers across product, data, and machine learning to shape how intelligence is delivered at scale.
- This is a high-impact role focused on turning data into real, measurable value.
Responsibilities
- 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.
- 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.
- Strong foundation in statistics, modeling, and experimental design.
- We're a U.S.-based tech company with a high bar for talent, ownership, and execution - and we're intentional about building a strong, globally distributed team from the start.
- We need a Data Scientist to help design and build the algorithms that power insights, pre-label data, and reduce the need for manual configuration by users.
- Comfortable building and evaluating models that move into production.
Requirements
- Strong SQL skills and ability to work with large, complex datasets.
- Experience with pre-labeling, weak supervision, or automated data labeling techniques.
- Experience working with ML engineers to productionize models.
- Familiarity with recommendation systems, classification, or predictive modeling.
Compensation
- We offer competitive pay based on the market and where you're located.
- The salary ranges in our job postings are intentionally wide because they need to cover both U.S. and international candidates.
- Our final offer will depend on things like your experience, skill set, and location.
Benefits
- Collaborate with machine learning engineers to productionize models and integrate them into scalable systems.
- Experienced in applied data science, machine learning, or advanced analytics in a product-driven environment.
- This role sits at the intersection of machine learning, product, and data, turning complex data into clear, actionable value for our customers.
Company info
- We're building Reflow, a workforce and workflow intelligence platform that helps teams understand and improve how work gets done.
This listing is sourced directly from Reflow's careers page and normalized into a canonical job model.