ThinkBAC Consulting

It will be part of a creative team focused on energy storage / battery storage energy trading strategies, asset management, and real-time energy pricing.. Renewables Machine Learning & Data Science Leader (Sr. Manager - Director) - Develops and implements AWS sagemaker based machine learning optimization and predictive models for energy trading wholesale electricity markets with a key focus on energy storage initiatives. Renewables Machine Learning & Data Science Leader (Sr. Manager - Director) - Create as well as automates machine learning single-task and multi-task time series forecasting models utilizing deep neural networks (DNN), deep learning (DL), and reinforcement learning (RL) techniques for energy storage, asset management, and energy trading initiatives. HUGE PLUS - solid understanding of national energy markets and renewable energy portfolios - PJM, ERCOT, SPP, MISO, NYISO, ISO-NE, and CAISO; capacity prices, regional energy pricing, congestion and curtailment analysis, transmission constraints, interconnection assessments, LMPs (locational marginal pricing), and/or regional supply and demand curves). Ideal candidates for this role will have experience working in Senior, Lead, Principal, Manager, and Director level roles as Software Architect, Data Scientist, Full-Stack Developer, Machine Learning Engineer, Artificial Intelligence Engineer, ML/AI Engineering Leader, AI Software Engineering Leader, ML Software Development Leader, ML/AI Engineering Manager

machine learning

Job Description
Energy Storage Machine Learning & Data Science Leader (Sr. Manager to Director level) - Energy Trading

Location: FULLY REMOTE (Anywhere in the USA)

This is an opportunity to join an industry leading renewable energy venture with strong private equity backing that is focused on the development, execution, and operations of dynamic utility-scale energy storage projects. They are at the forefront of the industry, have accumulated over 9GW of projects in a relatively short period of time, and are currently in an accelerated expansion phase which includes key additions to their Software, Data, and Technology Team.

The Energy Storage Machine Learning & Data Science Leader i  s   an innovative team leadership role focused on ML / AI energy predictive pricing and quantitative forecasting models that will drive the algorithmic decision making process of next generation utility-scale renewable energy projects across all ISO / RTO markets in the United States.   It will be part of a creative team focused on energy storage / battery storage energy trading strategies, asset management, and real-time energy pricing.
They are committed to creating more renewable infrastructure solutions for the grid and are offering comprehensive compensation packages to their employees leading the drive to meet company goals. Other perks included a competitive base salary, open PTO policy, flex work hours, benefits, the opportunity to work with a transparent Executive Leadership Team..and more.

RESPONSIBILITIES:
Renewables Machine Learning & Data Science Leader (Sr. Manager - Director) - Develops and implements AWS sagemaker based machine learning optimization and predictive models for energy trading wholesale electricity markets with a key focus on energy storage initiatives
Renewables Machine Learning & Data Science Leader (Sr. Manager - Director) - Create as well as automates machine learning single-task and multi-task time series forecasting models utilizing deep neural networks (DNN), deep learning (DL), and reinforcement learning (RL) techniques for energy storage, asset management, and energy trading initiatives
Renewables Machine Learning & Data Science Leader (Sr. Manager - Director) - Develops and implements a framework of testing machine learning models and taking them into production
Renewables Machine Learning & Data Science Leader (Sr. Manager - Director) - Takes ownership of machine learning operations programs to monitor performance and streamline processes including real-time troubleshooting
Renewables Machine Learning & Data Science Leader (Sr. Manager - Director) - Plays a key role in the data feature engineering through work with the team's Data Engineers to enrich and optimize the data pipeline
Renewables Machine Learning & Data Science Leader (Sr. Manager - Director) - Utilize forward thinking techniques such as optimal control, deep learning, machine learning (AI/ML), and reinforcement learning to evaluate and update current protocols

QUALIFICATIONS:

8-10+ yrs of machine learning software engineering, programming, or coding experience; at least 2 years in Team Leadership roles with direct reports
Machine learning development experience in production ready coding environments focused on complex projects
Expert in machine learning model deployment and machine learning operations MLOps; Well versed in agile based software development methodology
Well versed in Python-based optimization toolkits such as Pyomo, CVXPY GurobiPy, etc.
Well versed in machine learning concepts such as classification, deep learning, deep neural networks (DNN), reinforcement learning, and regression problem solving techniques
Expertise in the Amazon Web Services (AWS) Sagemaker Machine Learning platform
Solid understanding convex optimization techniques (Linear/Mixed Integer programming) and time-series forecasting (PostgreSQL, TimescaleDB, InfluxDB)
Solid exposure to cybersecurity best practices for software development and distributed architecture systems.
HUGE PLUS - experience working in production ready coding environments in the energy trading or financial trading sector
HUGE PLUS - solid understanding of national energy markets and renewable energy portfolios - PJM, ERCOT, SPP, MISO, NYISO, ISO-NE, and CAISO; capacity prices, regional energy pricing, congestion and curtailment analysis, transmission constraints, interconnection assessments, LMPs (locational marginal pricing), and/or regional supply and demand curves)
Ideal candidates for this role will have experience working in  Senior, Lead, Principal, Manager, and Director level roles  as Software Architect, Data Scientist, Full-Stack Developer, Machine Learning Engineer, Artificial Intelligence Engineer, ML/AI Engineering Leader, AI Software Engineering Leader, ML Software Development Leader, ML/AI Engineering Manager...etc

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