Senior Engineer, Data Science

Enphase Energy, Inc.; India; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Enphase Energy, Inc. is seeking a Senior Data Scientist to analyze fleet product performance and support data management for Quality and Customer Service teams. You will collaborate with Engineering, Quality, CS and IT to build robust predictive models and data pipelines.

The role requires 5+ years in data science with a focus on predictive maintenance, anomaly detection, and end-to-end analytics including dashboards using Power BI or Tableau.

Qualifications

• 5+ years in data science with focus on predictive maintenance and anomaly detection.
• Experience building predictive maintenance models from IoT/sensor data.
• Proficiency with Spark-based data processing and Python/R.
• Ability to craft engineered features and extract temporal patterns.

Responsibilities

• Analyse product performance in the fleet and support data management for Quality/CS teams.
• Collaborate with Engineering/Quality/CS and IT to improve data pipelines and models.
• Develop features capturing events or transitions to boost model performance.
• Create dashboards and reports to communicate results to stakeholders.

Skills

PySpark

SparkSQL

SparkR

Python

R

SQL

Feature Engineering

Anomaly Detection

Predictive Maintenance

Data Visualization

Temporal Features

Education

Bachelor’s or Master’s in Engineering/Statistics/Math/CS

Tools

Power BI

Tableau

Spark

SQL

Job 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 Scientistwill 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 models
• Experience translating theoretical concepts into engineered features, with a demonstrated ability to create features capturing important events or transitions within the data
• Expertise 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 features
• Advanced 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 training
• Demonstrated capability to develop and implement custom statistical algorithms tailored to specific anomaly detection tasks
• Proficiency 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 extraction
• Familiarity with end-to-end analytical architectures, including data lakes, data warehouses, and real-time processing systems
• Experience creating insightful dashboards and reports using tools such as Power BI, Tableau, or custom visualization frameworks to effectively communicate model results to stakeholders
• 5+ 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 Science
• 5+ years of experience as a Data Scientist / Sr Data Scientist
• Strong problem-solving skills
• Proven ability to work independently and accurately