Senior Engineer, Data Science
Enphase Energy · Bengaluru
- Experience5–6 yrs
- SalaryNot disclosed
- Work modeonsite
- Levelsenior
- Posted21 Sept 2026
About Enphase Energy
Enphase Energy is hiring in Bengaluru in energy utilities. This role looks for around 5+ years of experience.
Skills
- Industrial processes
- Sensor data
- IoT platforms
- Predictive maintenance
- Anomaly detection
- Feature engineering
- Apache Spark
- Python
- R
- SQL
- Statistical algorithms
- Statistical methods
- Data lakes
- Data warehouses
- Real-time processing systems
The role
A data scientist at a clean energy technology company develops predictive maintenance and anomaly detection models for solar and energy-system product fleets, applying feature engineering to sensor data and industrial processes. The role also uses Apache Spark to process large-scale datasets.
Full job description
Description
Enphase Energy is a global energy technology company and a leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, our innovative microinverter technology revolutionized solar power, making it a safer, more reliable, and scalable energy source. Today, the Enphase Energy System enables users to make, use, save, and sell their own power. Enphase is also one of the most successful and innovative clean energy companies in the world, with more than 80 million products shipped across 160 countries.
Join our dynamic teams designing and developing next-gen energy technologies and help drive a sustainable future!
About the role:
The Sr. Data Scientist will be responsible for analysing product performance in the fleet. Provides support for the data management activities of the Quality/Customer Service organization. Collaborates with Engineering/Quality/CS teams and Information Technology.
What you will do:
Strong understanding of industrial processes, sensor data, and IoT platforms, essential for building effective predictive maintenance modelsExperience translating theoretical concepts into engineered features, with a demonstrated ability to create features capturing important events or transitions within the dataExpertise in crafting custom features that highlight unique patterns specific to the dataset or problem, enhancing model predictive power. Ability to combine and synthesize information from multiple data sources to develop more informative featuresAdvanced knowledge in Apache Spark (PySpark, SparkSQL, SparkR) and distributed computing, demonstrated through efficient processing and analysis of large-scale datasets. Proficiency in Python, R, and SQL, with a proven track record of writing optimized and efficient Spark code for data processing and model trainingDemonstrated capability to develop and implement custom statistical algorithms tailored to specific anomaly detection tasksProficiency in statistical methods for identifying patterns and trends in large datasets, essential for predictive maintenance. Demonstrated expertise in engineering features to highlight deviations or faults for early detection.Experience extracting temporal features, such as trends, seasonality, and lagged values, to improve model accuracy. Skills in filtering, smoothing, and transforming data for noise reduction and effective feature extractionFamiliarity with end-to-end analytical architectures, including data lakes, data warehouses, and real-time processing systemsExperience creating insightful dashboards and reports using tools such as Power BI, Tableau, or custom visualization frameworks to effectively communicate model results to stakeholders5+ years of experience in data science with a significant focus on predictive maintenance and anomaly detection
Who you are and what you bring:
Bachelor’s or Master’s degree/ Diploma in Engineering, Statistics, Mathematics or Computer Science5+ years of experience as a Data Scientist / Sr Data ScientistStrong problem-solving skillsProven ability to work independently and accurately