Senior Data Scientist – Optimization (Energy Systems)

KamisPro; Baltimore (MD); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vision benefits

401(k) plan

Tuition reimbursement up to $10,000/year

Job summary

A leading optimization solutions firm in the United States seeks a Senior Data Scientist focused on MILP-based optimization within their Product team. Candidates should possess extensive experience in data science and optimization, particularly using Python and Pyomo. You will enhance optimization engines, ensure accuracy, and contribute to system-level improvements. This role offers competitive compensation, comprehensive benefits, and a chance to work on impactful energy systems problems.

Qualifications

• 7+ years of experience in data science or optimization.
• 2–5+ years of hands-on MILP optimization experience.
• Strong proficiency in Python and Pyomo.

Responsibilities

• Design and implement enhancements to a MILP-based optimization engine.
• Integrate optimization logic with production systems.
• Monitor optimization accuracy and identify anomalies.

Skills

Python

MILP-based optimization

Operations Research

Data Science

Machine Learning

Time-series forecasting

Education

Bachelor's or Master's degree in relevant field

Tools

Pyomo

Azure

Postgres

Job description

Senior Data Scientist – Optimization (Energy Systems)

We are seeking a Senior Data Scientist with deep experience in MILP-based optimization to build, scale, and improve decision-optimization and forecasting systems for complex energy use cases. This role is embedded within the Product team and focuses on extending a production optimization engine, improving solution accuracy, and enabling new programs and constraints across energy systems and distributed energy resources (DERs). This is a hands‑on, senior role for candidates with a strong operations research foundation, experience using Python and Pyomo, and the ability to translate business objectives into scalable optimization solutions.

What You’ll Do

• Design, prototype, and implement enhancements to a MILP-based optimization engine
• Extend core data models and optimization formulations to support new use cases, programs, and constraints
• Integrate and scale optimization logic with solvers and production systems
• Benchmark optimization performance across program stacks, load profiles, locations, and other key variables
• Build robust test coverage for new and existing optimization logic
• Monitor optimization accuracy at the customer‑site level and proactively identify anomalies
• Diagnose root causes of optimization accuracy issues and propose product improvements
• Collaborate with product, engineering, and business stakeholders to align optimization and forecasting with economic objectives
• Analyze market price behavior and propose strategies to improve asset utilization
• Quantify the incremental value of optimization changes to support product prioritization
• Identify new data science‑led opportunities and incorporate internal and external data sources
• Contribute to building and scaling a data science and optimization practice over time

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Operations Research, Mathematics, Statistics, Engineering, Physics, or a related field
• 7+ years of experience in data science, optimization, or a related quantitative field
• 2–5+ years of hands‑on experience with MILP-based optimization (professional experience preferred; advanced academic experience acceptable)
• Strong proficiency in Python and Pyomo, with experience implementing optimization models in production
• Experience with mixed‑integer optimization techniques and solver integration
• Knowledge of time‑series forecasting and machine learning methods (e.g., ARIMA, LSTM, probabilistic models)
• Experience with model predictive control or sequential decision‑making systems
• Experience working in Agile, cross‑functional product development environments
• Ability to clearly communicate technical concepts and manage stakeholder expectations
• Authorization to work in the United States without current or future visa sponsorship

Preferred Qualifications

• Experience with electricity markets, utility tariffs, and interval data
• Familiarity with DER assets such as batteries, solar, and backup generation
• Experience forecasting energy prices, system peaks, or demand response events
• Advanced experience with Azure, Postgres, or similar cloud/data platforms
• Software development experience in Python and/or .NET
• Experience building or leading a data science or optimization practice

Why Join Us

• Work on real‑world, large‑scale optimization problems with direct business impact
• Collaborate with experienced product and engineering teams in a growing organization
• Gain deep exposure to energy systems, DER optimization, and electricity markets
• Competitive compensation and comprehensive benefits including medical, dental, vision, 401(k), vacation, and up to $10,000/year in tuition reimbursement