onsite
Senior Data Scientist - ENSEK
Data Scientist
Lead advanced analytics initiatives for a cloud‑native SaaS platform, building machine‑learning models, data pipelines, and visual insights to drive cost reduction and billing accuracy for energy retailers.
About the role
Key Responsibilities
- Design, develop, and deploy scalable machine‑learning models that optimize pricing, demand forecasting, and fraud detection for energy retail operations.
- Build and maintain robust data pipelines on AWS (e.g., S3, Redshift, Glue) to ingest, transform, and store large‑scale telemetry and transactional data.
- Collaborate with product, engineering, and domain experts to translate business problems into analytical solutions and measurable KPIs.
- Create interactive dashboards and visualizations using tools such as Tableau or Power BI to communicate insights to stakeholders.
- Mentor junior data scientists and promote best practices in reproducible research, model monitoring, and continuous improvement.
Requirements
- 5+ years of experience in data science or analytics, preferably in the energy or SaaS domain.
- Proficiency in Python (pandas, scikit‑learn, PyTorch/TensorFlow) and strong SQL skills for complex data extraction.
- Hands‑on experience with AWS services (S3, Redshift, SageMaker, Lambda) and building production‑grade data pipelines.
- Demonstrated ability to develop, evaluate, and deploy statistical and machine‑learning models at scale.
- Excellent problem‑solving communication skills and a track record of delivering actionable insights to cross‑functional teams.
Skills
pythonmachine learningawssql