Data Scientist
ELEKS
full-time
Posted on:
Location Type: Remote
Location: Anywhere in Europe
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Tech Stack
About the role
- Develop and improve data‑driven models for forecasting, optimization, and operational insights
- Analyze large‑scale sensor, process, and operational datasets to identify trends, risks, and improvement opportunities
- Build and validate ML models for prediction, anomaly detection, and risk assessment
- Create scalable data‑science pipelines and collaborate closely with the team
- Translate business needs into analytical solutions and present insights to stakeholders
- Ensure models are production‑ready, monitored, and continuously improved
Requirements
- 5+ years of experience in the data science field
- Strong Python skills and experience with core DS/ML libraries
- Experience with time‑series analysis and predictive modeling
- Hands‑on experience in anomaly detection
- Ability to build optimization models
- Educated to degree or equivalent discipline with a solid analytical background as well as commercial experience with data science and statistical modelling techniques
- At least an Upper-Intermediate level of English
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythondata sciencemachine learningtime-series analysispredictive modelinganomaly detectionoptimization modelsdata-driven modelsstatistical modelingdata science pipelines
Soft Skills
analytical skillscommunicationcollaborationproblem-solvingpresentation skills