Principal Data Scientist

BESS

This Jobot Job is hosted by: Denis Mikush

Salary: $150,000 - $180,000 per year

A bit about us:

The primary function of this role is to advance the development of their automated electricity market bidding platform, a tool that enables the work of quantitative analysts in electricity power market trading. The Data Scientist will assist in the development of simulation tools, forecasting methods, and data driven operation optimization algorithms for energy systems in Python. The role will be an integral part of the Simulation and Data Science team in a Research and Development role, working to accelerate the development of our software capabilities while supporting new product development initiatives in the field of automated power system optimization.

This position is hybrid with the ideal candidate being near our software development center in Herndon, VA, USA. This position is open to all states with relocation provided if not near Herndon, VA.

Why join us?

Develop, implement, and leverage linear and quadratic programming optimization methods.

Research, develop, and implement reinforcement learning applications

Turn data models and algorithms into software and evaluate model effectiveness by conducting tests on large sets of historical data

Work with our cloud services development team to deploy and monitor Python solutions in a cloud/bare-metal hybrid environment, helping to tune and debug performance

Tune data models and algorithms for conducting time series analysis, forecasting, and operation optimizations related to energy management, improving performance and accuracy within the context of the business logic

Provide integration expertise related to electricity market rules and regulatory compliance in either Australia, Europe, the UK, or North America

Understand various ISO (Independent System Operator) telemetry requirements to maintain grid operator reliability and compliance

Write documentation on algorithm and model improvements to clearly communicate the structure of new methods and implementations, including justification

Support tasks outside of job description as needed

The candidate must be able to embrace the fast and dynamic environment of a growth stage company, comfortable with adjusting quickly to changing priorities.

Job Details

Qualifications/Requirements

M.S. or Ph.D. in physics, mathematics, or engineering

Track record of a career trajectory in and towards software engineering

Experience in power markets or in other commodity trading and/or operations domains

Expert level in Python as a programming language (5+ years)

Can work independently and provide strong leadership

Desired Characteristics

Previously held NERC certification, preferably Balancing and Interchange or Balancing, Interchange and Transmission

3+ years of experience in power system dispatching

Expertise in predictive analytics including regressions and machine learning techniques

Work or academic experience in the energy industry

Prior experience with production systems running advanced statistical algorithms and machine learning

Experience with open-source analytic and data munging software

Familiar with large, distributed datasets for high-speed computing

Strong leadership record with active participation in renewable energy associations, forums, clubs, or groups