This is a remote position.
They are committed to creating more renewable infrastructure solutions for the grid and are offeringcomprehensive compensation packagesto 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.
- 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
- 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 inSenior, Lead, Principal Engineer rolesas Data Scientist, Quantitative Software Engineer, Stochastic Software Engineer, Computational Software Engineer Optimization Engineer....etc
