Senior Data Scientist - Forecasting (India)

Senior Data Scientist Forecasting - India

Location: Remote

Department: Data Science

Type: Full Time

Min Experience: Mid Level

The Forecasting team at AutoGrid is looking for an experienced Senior Data Scientist to develop and maintain AutoGrid's measurement and verification (M&V) and forecasting platform. AutoGrid has a platform that can support forecasting and M&V for about a million devices. You will work with the team of data engineers and software engineers to launch new forecasting and M&V services and to optimize existing ones.

You should lead the data science efforts to gain insight and develop/improve the core algorithms for M&V and various types of time series forecasts. You should also possess good programming skills to navigate our codebase and work with our infrastructure; we expect our data scientists to write production code with some help from software engineers. This is a remote position and you may need to travel to AutoGrid's office in Bengaluru a few times a year.

Responsibilities:

• Design, implement, and maintain the algorithms for M&V and forecasting
• Perform ad hoc analysis on AutoGrid's data to gain insights and guide decisions
• Improve scalability of forecasting and M&V jobs by optimizing code
• Work with other data/software/SRE engineers to troubleshoot production problems and respond to customer queries
• Educate team members on data science work including algorithms for M&V and time series forecasting
• Mentor junior data scientists and software engineers
• Gather and analyze requirements, convert functional requirements into technical tasks, and provide effort estimates
• Work effectively with global engineering teams to understand project requirements and identify collaboration opportunities
• Communicate effectively across business to team leads, subject matter experts, leadership, clients, and stakeholders
• Follow a 2-week Scrum process and release code to clients every 2-3 months

Requirements:

• BS/BA in quantitative fields, applied mathematics, statistics, or various engineering fields
• 5 years of experience in data scientist roles
• Ability to learn a problem domain quickly and think critically
• Prior experience in the energy industry, especially in electricity and demand response, is preferred
• Good statistical intuition and understanding of machine/statistical learning techniques for time series forecasting
• Experience in Python data science stack (e.g. numpy, scipy, pandas, scikit-learn)
• Experience with parallelization frameworks like pyspark or Dask
• Experience with RDS and SQL; NoSQL database experience is a plus
• Excellent communication skills
• Ability to thrive in a fast-paced, dynamic work environment
• Experience with production codebase; agile team experience preferred
• Experience with containerization (e.g. Docker, Kubernetes) preferred

About AutoGrid:

At AutoGrid, you will join a team helping to accelerate the world's transition to a clean, affordable, and reliable energy system. We're a growing and award-winning clean technology company driving the transformation of the electrical grid. You will collaborate with a team of experts working in data science, artificial intelligence, and high performance computing, with solutions that impact global energy systems.

If you are passionate about using technology to improve society, enjoy a fast-paced work culture, and value continuous learning and advancement, you will love AutoGrid. We strive to create an inclusive environment and welcome people from all backgrounds. Together, we innovate and turn bold ideas into reality.

How to Apply:

If you are interested in this position, please apply here.