Senior Data Scientist - Optimization

Senior Data Scientist – Optimization
Austin, TX. Hybrid
Competitive Salary + Excellent Benefits

Our client is seeking a Senior Data Scientist to lead forecasting initiatives in the energy sector. This role involves developing advanced predictive models and optimizing decision-making in power markets. The ideal candidate will bring expertise in data science, power markets, and scalable model deployment.

Data Scientist responsibilities:  

• Develop & Optimize Forecasting Models – Build machine learning models for price forecasting, real-time market predictions, and scenario analysis to improve decision-making.
• Enhance Energy Storage Optimization – Design and maintain optimization models for energy storage and solar storage systems to maximize operational efficiency across different ISOs.
• Analyze & Mitigate Congestion Risks – Create models to forecast grid congestion, refine bidding strategies, and improve asset dispatch under constrained conditions.
• Support Strategic & Business Development Efforts – Provide data-driven insights, develop asset performance back testing tools, and collaborate on client materials.
• Integrate & Deploy Scalable Solutions – Work alongside Software Engineering and DevOps teams to implement production-ready forecasting and optimization models.
• Advance Research & Innovation – Experiment with novel approaches to enhance forecasting accuracy, congestion management, and portfolio optimization.
• Ensure Model Performance & Reliability – Maintain rigorous evaluation frameworks to improve model calibration, accuracy, and long-term stability.
• Collaborate Across Teams – Partner with trading, commercial, and operations teams to ensure that forecasting solutions align with market strategies and business objectives.

Data Scientist requirements:  

• Machine Learning & Data Science Expertise – 3+ years of experience developing and deploying real-time machine learning models and data science applications.
• Power Market Knowledge – Strong understanding of short-term US power markets, including supply-demand dynamics and pricing mechanisms.
• Optimization & Algorithmic Decision-Making – Experience with mixed-integer linear programming (MILP), CVXPY, or similar optimization tools.
• Python & Data Science Ecosystem – Proficiency in Python and key libraries such as Pandas, NumPy, Scikit-learn, and Polars.
• Software Development Best Practices – Familiarity with version control (Git), software development workflows, and managing dev/test/production environments.
• Forecasting & Predictive Analytics – Hands-on experience with time-series forecasting, market prediction, and data-driven decision-making.
• Energy Systems & Market Modeling – Background in power systems modeling, power flow analysis, and security-constrained unit commitment.
• Cloud & Deployment Technologies – Experience with AWS, Terraform, CI/CD pipelines, and productionizing machine learning models.
• Data Visualization & Engineering – Knowledge of full-stack, machine learning engineering, data engineering, and visualization tools (Plotly, Dash, Streamlit).
• Education & Research – Bachelor's degree in a relevant field (Computer Science, Machine Learning, Electrical Engineering) with an advanced degree (MS/PhD) or industry research/publication experience preferred.

Data Scientist rewards:  

• Competitive base salary
• Generous PTO
• Professional development
• Comprehensive medical, dental, and vision coverage
• Flexible hybrid working (3 days WFH per week)

Certus Recruitment Group is a well-established and experienced specialist consultancy providing sales, marketing, and IT recruitment services. We serve the technology sector across North America, the UK, Europe, and Australia.
  
If you are ready to take your career to the next level and make a significant impact, apply now!