Vacancy description
India, Bengaluru
Data Scientist (Python, ML, SQL) in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Fluence (Nasdaq: FLNC) is a global market leader delivering intelligent energy storage and optimization software for renewables and storage. Our solutions and operational services are helping to create a more resilient grid and unlock the full potential of renewable portfolios. With gigawatts of successful implementations across nearly 50 markets, we are transforming the way we power our world for a more sustainable future. This position is part of Fluence's Data Science team and will play a key role in advancing battery analytics and enhancing the Nispera Asset Performance Management (APM) platform. The platform monitors, analyzes, and optimizes the performance of Battery Energy Storage Systems (BESS) and renewable energy assets, leveraging fully automated data acquisition and AI-driven computational algorithms. The role will be based in Fluence's excellence center in Bangalore, India, and will report to the Director of Data Science in Zurich, Switzerland.
As a Data Scientist, you will contribute to data science projects aimed at improving BESS performance through advanced monitoring, analytics, and control. Leveraging your experience in statistics, mathematical optimization, Machine Learning (ML), Artificial Intelligence (AI), and battery systems, you will develop data-driven models and analytics solutions that extract actionable insights from large datasets, delivering value to our customers. Additionally, you will create visualizations and reports that communicate model results and key insights, providing a clear and comprehensive overview of the assets. You will collaborate with product managers, other data scientists, and subject matter experts to align on technical requirements and work with software engineers to integrate the developed models into Fluence's platforms.
Develop advanced analytics, KPIs, and alerts using operational data from batteries to assess performance, degradation, efficiency, and detect emerging issues. When needed, contribute similar analytics to renewable energy assets.
Build, train, and maintain first-principles, ML / AI, and optimization models for BESS performance assessment and control applications such as forecasting, anomaly detection, and predictive maintenance.
Create insightful visualizations and reports that effectively communicate model results, performance metrics, and key findings to internal and external stakeholders.
Collaborate effectively with cross-functional teams to understand product requirements, develop robust data analytics and control models, and ensure seamless integration into the Nispera platform or Fluence's control platforms.
Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, Electrical / Mechanical / Chemical Engineering, Mathematics) with 5+ years of professional experience; or a Master's degree with 3+ years of professional experience.
Professional experience in data science, data / software engineering, controls, operations research, or related roles in the energy sector (e.g., Excellent programming skills in Python and SQL, with strong experience in scientific libraries (e.g., Proven experience developing scalable, maintainable, production-grade analytics solutions in collaboration with software engineering teams.
Proficiency in statistical analysis, ML / AI models, and/or mathematical optimization.
Proven ability to work independently, take initiative, manage tasks with minimal supervision, meet deadlines, and deliver solutions quickly and at high quality.
Excellent written and verbal communication skills in English.
Master's degree in a relevant field.
Prior professional experience and/or education in lithium-ion battery modeling and analytics, including understanding of cell chemistry, equivalent circuit models, performance metrics, and degradation factors.
Experience with additional programming languages.
Proven experience with cloud technologies, preferably AWS.
Proficient in collaboration and project management tools (e.g., Hands-on experience with agile development frameworks, ideally Scrum.
Experience with data engineering and MLOps, including working with large datasets and frameworks such as PySpark.
At Fluence, our culture is the foundation that drives our ambitious growth strategy and fuels our mission to transform the future of energy. We foster an environment where diverse perspectives are heard and valued, driving innovation and progress.
We push boundaries to deliver sustainable, game-changing solutions that shape a brighter, more energy-efficient future for all.
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