ThinkBAC Consulting
Principal Energy Storage Software Optimization Engineer - REMOTE
Be an Early Applicant
Lead the development and implementation of predictive optimization models for renewable energy projects, focusing on energy storage and trading strategies using machine learning techniques.
This is a remote position.
Lead Energy Storage Quantitative Software Optimization Engineer - 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 Quantitative Software Optimization Engineer is a Principal Engineer level role on an innovative team 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.
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:
- The Lead Quantitative Data Scientist / Software Optimization Engineer - Develops and implements quantitative predictive models for utility-scale renewables projects operating in wholesale electricity markets with a key focus on energy storage initiatives
- The Lead Quantitative Data Scientist / Software Optimization Engineer - Develops, updates, and implements mixed-integer linear programming (MILP) optimization models for energy storage, asset management, and energy trading initiatives
- The Lead Quantitative Data Scientist / Software Optimization Engineer - Creates, designs, & test multitasking time series forecast models in AWS Sagemakeer machine learning environment
- The Lead Quantitative Data Scientist / Software Optimization Engineer - Utilize forward thinking techniques such as optimal control, deep learning, machine learning (AI/ML), and reinforcement learning to evaluate and update current protocols
- The Lead Quantitative Data Scientist / Software Optimization Engineer - Drive the implementation of full-lifecycle ML/AI solutions and take ownership of real-time troubleshooting
- The Lead Quantitative Data Scientist / Software Optimization Engineer - Optimization modeling to forecast congestion, assess congestion drivers, and assist in locational marginal pricing (LMP) assessments
QUALIFICATIONS:
- 8-10+ yrs of optimization based python programming, mixed-integer linear programming (MILP), stochastic optimization, & predictive modeling experience
- Machine learning development experience in production ready coding environments focused on complex projects
- Well versed in Python-based optimization toolkits such as Pyomo, CVXPY GurobiPy, etc.
- Expert in Python stack - scipy, numpy, pandas, etc...
- Experience working in APIs databases like SQL, NoSQL, and RESTful to a process and manipulate large datasets
- 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)
- Well versed in Bitbucket, git, or GitHub
- Well versed in machine learning concepts such as classification, deep learning, deep neural networks (DNN), reinforcement learning, and regression problem solving techniques
- 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 Engineer roles as Data Scientist, Quantitative Software Engineer, Stochastic Software Engineer, Computational Software Engineer Optimization Engineer....etc
Similar Jobs
Artificial Intelligence • Blockchain • Professional Services • Security • Consulting • Cybersecurity • Defense
As a Security Engineer, you will conduct security assessments, develop security tools, perform architecture reviews, and collaborate on advanced security research.
Top Skills:
CC++GoJavaScriptKotlinObjective-CPythonRubyRustSwiftTypescript
.jpg)
Fintech • Insurance • Payments • Social Impact • Financial Services
The role involves sourcing new business for 1031 QI services, building client relationships, and facilitating tax-deferred exchanges while working independently and leveraging industry knowledge for client satisfaction.
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Sr. Director of Product Pricing leads the product monetization and packaging team, developing strategies to align pricing with business goals and customer needs, leveraging data and market dynamics for decision-making, and guiding the product portfolio's pricing strategy.
Top Skills:
AIData AnalysisMonetization Strategy
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
