Data Scientist
Job Summary
Job Description
The Data Scientist at Enphase Energy will analyze product performance, support data management for Quality/Customer Service, and collaborate with Engineering/Quality/CS teams and IT. Responsibilities include monitoring, visualizing, and building dashboards to identify product issues; escalating issues based on data; functioning as a resource for departments; mining data for optimization and quality improvement; working with cross-functional teams to support their analysis; running advanced SQL queries; writing Python/Pyspark/R scripts; and identifying opportunities to leverage company data for product/process improvements. This role requires advanced SQL, Python, and Pyspark skills, strong problem-solving abilities, and excellent data visualization and communication skills.
Must have:
- Advanced SQL/Python/Pyspark skills
- Data visualization and storytelling
- Strong problem-solving skills
- Experience as a Data Scientist/Analyst
- Data mining and analysis for optimization
6 skills required
Job Details
Description
Enphase Energy is a global energy technology company and leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, Enphase transformed the solar industry with our revolutionary microinverter technology, which turns sunlight into a safe, reliable, resilient, and scalable source of energy to power our lives. Today, the Enphase Energy System helps people make, use, save, and sell their own power. Enphase is also one of the fastest growing and innovative clean energy companies in the world, with approximately 68 million products installed across more than 145 countries.
We are building teams that are designing, developing, and manufacturing next-generation energy technologies and our work environment is fast-paced, fun and full of exciting new projects.
If you are passionate about advancing a more sustainable future, this is the perfect time to join Enphase!
About the role:
The Data Scientist will be responsible for analyzing 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:
- Monitor, visualize, build dashboards to identify and proactively act on potential product issues in the fleet.
- Escalate product issues based on data
- Functions as a resource to departments and process improvement teams in the areas of quality data management and statistical graphing.
- Mine and analyze data from company databases to drive optimization and quality improvement.
- Work with cross functional teams to understand their needs and run scripts / advanced queries to support their analysis.
- Develop deep knowledge of the dataset and able to drill down and wide.
- Run advanced SQL queries on various databases upon request.
- Write python / pyspark / R scripts for data cleaning and transformations.
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive product/process improvements.
Who you are and what you bring:
- Bachelor’s or Master’s degree in Engineering, Statistics, Mathematics or Computer Science
- 2+ years of experience as a Data Scientist / Analyst
- Strong problem-solving skills
- Proven ability to work independently and accurately.
- Advanced skills in BI tools like Power BI / Incorta / Tableau
- Keen ability for pattern recognition and data modeling
- Advanced SQL / Python / Pyspark skills
- Excellent data visualization and storytelling skills
- Seasoned analytical skills, superior oral and written communication skills and an infectious can-do approach to work
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