Data Science Lead

Findmy AS

full-time

Posted on: 9/17/2025

Origin: • 🇳🇴 Norway

✨ AI Apply

Senior

AWSGrafanaPostgresPythonRTOSSQL

About the role

Report to the VP of Engineering and shape the Data Science discipline across the company
Define and evolve data science strategy and establish best practices
Help build and maintain proper data pipelines to enable faster, more reliable, and easier analysis
Support and align current data scientists and data analysts with frameworks to increase product impact
Guide, mentor, coach and review data scientists to develop customer-focused skills
Build robust frameworks for A/B and feature testing, including event definitions, statistical guardrails, and automated reporting
Design methods for analyzing spatiotemporal and time-series telemetry from 100k+ collars (GPS, motion, environment, device metrics)
Lead improvements to dashboards, metric definitions, and tooling to enable self-serve insights for product and engineering teams
Stay hands-on delivering analyses and models as a core member of a cross-functional product team
Partner with product, UX, firmware, backend, app engineers, support and ops to ensure data informs product decisions end-to-end
Work with a stack including AWS, ClickHouse, Postgres, SQL, Python, ECS, Windmill, Grafana, Datadog, and Deepnote
Initially no direct reports but responsible for the overall Data Science discipline across product teams

7+ years in applied data science or ML, including startups/scaleups
Track record of architecting and building frameworks (experimentation platforms, analytics standards, data science best practices)
Experience bringing ML models to the edge on constrained hardware (embedded devices, RTOS)
Familiarity with model optimization techniques: heavy quantization, pruning, resource-aware inference
Deep knowledge of statistics and experimental design
Advanced Python and SQL
Experience taking analyses and models from notebook to production (CI/CD, live data models, monitoring)
Hands-on experience with messy, real-world telemetry data (spatiotemporal, time-series)
Communication and mentoring experience; coaching data scientists without formal management
Collaborative mindset; experience working in cross-functional product teams
Curiosity and pragmatism
Fluent English (oral and written)
Preferred: Relevant Bachelor or Masters degree, or equivalent