What you'll do:

• Research and develop advanced statistical and machine learning models for analysis of large-scale, high-dimensional data.
• Dig deeper into data, understand characteristics of data, evaluate alternate models and validate hypothesis through theoretical and empirical approaches.
• Productize proven or working models into production quality code
• Collaborate with product management, marketing and engineering teams in Business Units to elicit & understand their requirements & challenges and develop potential solutions
• Stay current with latest research and technology ideas; share knowledge by clearly articulating results and ideas to key decision makers
• File patents for innovative solutions that add to company’s IP portfolio

What makes you a great fit:

• 6+ years of strong experience in data mining, machine learning and statistical analysis
• Experience in productizing models to code in fast paced start-up environment
• Fluency in tools such as Python, Jupyter Lab / Notebook and libraries such as scikit-learn, pandas, plotly, numpy, keras, etc.
• Experience of interfacing with popular frontends and back-end built in Python
• Strong intuition for data and keen aptitude on large scale data analysis
• Strong communication and collaboration skills
• Exposure to clean energy solutions in solar, wind and energy storage would be preferred but is not essential. Exposure to time-series data and analysis would be preferred.
• Passionate about a clean energy future
• Innovative – you challenge the status quo and find creative solution to problems
• Resilient – you enjoy meeting challenges head on and persist till we find a scalable solution
• Data driven – you understand the importance of data in decision making
• Methodical and team player