Polar Electro is looking for a Senior Data/AI Scientist for the Data Analytics & AI team Polar Research Center is part of Polar R&D; and acts as an innovation accelerator for Polar product and service developments. The Research Center comprises a multidisciplinary team with expertise ranging from sensor technology and algorithms to physiology, data, and AI sciences, as well as exercise and health sciences. The team conducts cutting-edge research in wearable technologies, follows scientific developments, and collaborates globally with academic and industry partners. Polar Research Center is located at our headquarters in Kempele.
As a Senior Data/AI Scientist, you will turn data from our wearables, mobile app, and cloud services into insights that guide business decisions, R&D;, and customer experience development. You will also contribute AI / ML model development, data modeling, and help steer where our analytics technology goes next.
Your responsibilities will include: Analyze Polar data to support business decisions across the company
Provide and analyze data for R&D; purposes, including insights that feed product and algorithm development
Deliver customer experience analytics that guide product development
Contribute to data engineering — how our data is modeled and made available to our data analytics services
Contribute to the technological development and future roadmap of our data analytics
We expect you to have:



Master’s or PhD degree or equivalent experience in computer science, applied mathematics, physics, biomedical engineering, or other related technical field
Senior-level experience in applied data analytics
Advanced proficiency in SQL and Python / PySpark
Experience with cloud data platforms — we mainly work with Databricks and AWS
Understanding of data modeling and data engineering practices
Strong collaboration and communication skills in English, with the ability to work in multidisciplinary teams
Considered as an advantage: Experience with physiological, sensor, and time-series data
Knowledge of GDPR and experience working with health data
Experience analyzing business and customer experience data
Experience in data and ML engineering with Databrics and AWS
Job location is any Polar office in Finland (Kempele, Helsinki, Jyväskylä, or Tampere), with Kempele headquarters preferred. Polar supports a hybrid working model, offering flexibility between office and work from home.
For further information, please contact Mika Rahja, mika.rahja(at)polar.com.
Kindly note that we may start interviews during the application period. The position will be filled as soon as a suitable candidate is found.
Please note that the Finnish Security Intelligence Service (SUPO) will be asked to conduct a standard personal security clearance for the selected candidate.

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📌 Senior Data/AI Scientist, Data Analytics & AI (Ontario)
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