Data Scientist

Responsibilities:

• Work closely with researchers, software engineers, and product managers across our SaaS platform to define specifications for developing and enhancing applied data science, machine learning, and statistical methods.
• Quickly develop machine learning prototypes, apply a procedural framework to assess the performance of a variety of machine learning algorithms, and identify the most suitable approaches.
• Process, transform, and experiment with high volumes of data to optimize model accuracy.
• Identify new potential data sources to enhance model performance.
• Develop and validate high quality machine learning models that will be brought to scale in production by our software engineers.
• Identify and evangelize opportunities to leverage data science and machine learning to improve existing products and services and opportunities to develop new ones.
• Work closely with researchers to support projects where data science and machine learning expertise is needed.
• Communicate with Clean Power Research customers on the details of our machine learning capabilities and performance metrics.

Key Skills:

• Programming.
• Statistics and probability. 
• Data wrangling and database management. 
• Machine learning and deep learning. 
• Data visualization.
• Cloud computing. 
• Interpersonal skills.