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Job title: Sr. Data Scientist, Energy Storage & Trading – REMOTE
Company: ThinkBAC Consulting
Job description: Job Description:
Sr. Stochastic Data Scientist – Renewables and Battery Storage Infrastructure
Location: FULLY REMOTE (Anywhere in the USA)
This 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 7GW 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 Sr. Data Scientist is a highly technical role that will utilize PYTHON, Mixed-integer linear programming (MILP), and stochastic optimization techniques to provide predictive modeling and quantitative forecasting guidance in the strategic analysis of innovative utility-scale renewable energy projects across all ISO / RTO markets in the United States. This work will be done in an Amazon Web Services (AWS) Sagemaker Machine Learning environment. The role will be part of a creative team focused on energy storage / battery storage 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 that include forecasted long term equity incentive opportunities to their employees leading the drive to meet company goals. Other perks included a competitive base salary, open PTO policy, flex work hours, benefits stipend, the opportunity to work with a transparent Executive Leadership Team..and more.
RESPONSIBILITIES:
- The Sr. Stochastic Data Scientist / Sr. Data Optimization Engineer – Develops and implements quantitative predictive MILP models for utility-scale renewables projects operating in wholesale electricity markets with a key focus on energy storage initiatives
- The Sr. Stochastic Data Scientist / Sr. Data Optimization Engineer – Develops, updates, and implements mixed-integer linear programming (MILP) optimization models for energy storage, asset management, and energy trading initiatives
- The Sr. Stochastic Data Scientist / Sr. Data Optimization Engineer – Creates, designs, & test multitasking time series forecast models in AWS Sagemakeer machine learning environment
- The Sr. Stochastic Data Scientist / Sr. Data 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 Sr. Stochastic Data Scientist / Sr. Data Optimization Engineer – Drive the implementation of full-lifecycle ML/AI solutions and take ownership of real-time troubleshooting
- The Sr. Stochastic Data Scientist / Sr. Data Optimization Engineer – Optimization modeling to forecast congestion, assess congestion drivers, and assist in locational marginal pricing (LMP) assessments
QUALIFICATIONS:
- 5+ yrs of Python programming, mixed-integer linear programming (MILP), stochastic optimization, & predictive modeling experience
- Understanding of convex optimization techniques (Linear/Mixed Integer programming) and time-series forecasting
- Well versed in Python-based optimization toolkits such as Pyomo, CVXPY GurobiPy, etc.
- Well versed in machine learning concepts such as classification, deep learning, reinforcement learning, and regression problem solving techniques
- Solid understanding of the Amazon Web Services (AWS) Sagemaker Machine Learning platform
- Experience working in APIs databases like SQL, NoSQL, and RESTful to a process and manipulate large datasets
- HUGE PLUS – working knowledge of various types of analysis (capacity prices, regional energy pricing, congestion and curtailment analysis, transmission constraints, interconnection assessments, LMPs (locational marginal pricing), and/or regional supply and demand curves)
- HUGE PLUS – Solid understanding of national energy markets and renewable energy portfolios – PJM, ERCOT, SPP, MISO, NYISO, ISO-NE, and CAISO
- Ideal candidates for this role will have experience working in Mid-Senior level roles as Data Scientist, Data Engineer, Machine Learning Engineer, Data Optimization Engineer, Artificial Intelligence Engineer, ML/AI Engineer
Expected salary:
Location: Phoenix, AZ
Job date: Mon, 31 Oct 2022 04:59:53 GMT
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Sr. Data Scientist, Energy Storage & Trading – REMOTE #remote_jobs
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