Data Scientist/Analyst

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

We are looking for a Data Scientist/Analyst to join our market intelligence team. The role will be based in our Bangalore, India office, reporting to the Senior Director of Corporate, FP&A. The position will be responsible for sourcing, preparing and analyzing large amounts of raw data to find patterns that will enable the company to better predict market conditions in order to provide management with key insight to implement proactive business decisions. The role will be responsible for the design, implementation, and maintenance of sophisticated analytics programs, machine learning, and/or statistical methods to prepare data for use in predictive and prescriptive modeling.

The ideal candidate needs to be highly analytical with a strong background and understanding in analysis, math and statistics. Critical thinking and problem-solving skills are essential. Experience with machine-learning and predictive analytics tools required. Energy related background a plus, specifically Solar.

What you will do

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Collaborate with sales, sales ops, product, and finance teams
  
  
  

Who You Are And What You Bring

• +5 years of experience as a Data Scientist/Analyst or equivalent
• Experience in data mining
• Understanding of machine-learning and operations research
• Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
• Experience using business intelligence tools (e.g. Tableau)
• Analytical mind and business acumen
• Strong math skills (e.g. statistics, algebra)
• Problem-solving aptitude
• Excellent communication and presentation skills
• Knowledge of statistical techniques, machine learning algorithms, Bayesian Models, data mining, and text mining
• BS/BA in Computer Science, Engineering, Math or relevant field; graduate degree in Data Science/Analytics or other quantitative field is preferred