Senior Data Scientist

Jupiter Power • Houston, TX

21d • Onsite

About The Position

Jupiter Power is seeking a highly motivated and experienced Senior Data Scientist to develop, deploy, and continuously improve machine-learning-based price forecasting models. These models support daily trading and battery dispatch optimization decisions across ISO and wholesale power markets. The role will also spearhead data science initiatives to enhance Jupiter’s market operations platform. The position is based in the Houston, Texas office and is subject to a return-to-office policy requiring employees to work in the office at least three days per week.

Requirements

• Bachelor's or advanced degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative field.
• At least 6 years of hands-on experience in data science or machine learning, with a demonstrated record of developing and deploying production-level solutions.
• Strong mathematical and statistical foundation and deep understanding of machine learning algorithms, model architectures, optimization methods, and hyperparameter tuning.
• Experience developing, evaluating, and deploying machine learning models using Python and modern frameworks such as XGBoost, LightGBM, TensorFlow, PyTorch, or scikit-learn.
• Demonstrated success managing the full machine learning lifecycle, including model development, deployment, monitoring, and maintenance, following MLOps and DataOps best practices.
• Strong Python programming skills, software engineering practices, and experience developing scalable data pipelines and automated processes.
• Extensive hands-on experience with cloud platforms and big data technologies, particularly Azure, AWS, Databricks, Apache Spark, and distributed computing environments.
• Strong analytical and problem-solving skills, including the ability to work independently, troubleshoot complex technical challenges, and deliver reliable solutions.
• Excellent communication skills and ability to explain sophisticated analytical methods and technical findings clearly to business stakeholders.
• Ability to work effectively in a collaborative, cross-functional environment.

Nice To Haves

• Advanced degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative field.
• Experience developing forecasting models in wholesale power markets, energy trading, commodity markets, financial markets, or other complex time-series forecasting environments.

Responsibilities

• Develop and deploy machine learning and AutoML models to forecast energy and ancillary services prices across ISO and wholesale power markets.
• Lead end-to-end machine learning initiatives, including forecasting pipelines, data preparation, feature engineering, model development, validation, deployment, monitoring, and retraining.
• Research, evaluate, and implement emerging AI and machine learning technologies to improve forecasting accuracy, operational efficiency, and business value.
• Promote best practices and internal understanding of forecasting processes, including evaluating forecast inputs and results and improving model accuracy, performance, and reliability.
• Identify model performance metrics, conduct rigorous back testing and evaluation using statistical and business-focused metrics, and benchmark internal models against external providers.
• Collaborate with traders, analysts, and optimization teams to assess how forecast improvements affect trader actions and portfolio performance and to integrate forecasts into decision-support and dispatch optimization systems.
• Communicate model methodologies, results, and recommendations clearly to technical and non-technical stakeholders.
• Provide leadership in deploying AI and machine-learning technologies and contribute to the development of junior team members.
• Develop probabilistic forecasts, scenario analyses, and uncertainty metrics to support dispatch optimization, bidding decisions, and risk management.
• Analyze wholesale electricity markets for emerging trends, regime shifts, congestion patterns, scarcity events, and other price-formation drivers.
• Build and validate analytical tools and dashboards that improve visibility into market conditions, forecast performance, and asset opportunities.
• Investigate forecast performance, model misses, and changing market dynamics, translating findings into model enhancements and actionable recommendations.
• Collaborate with Trading, Market Analytics, Market Operations, and other cross-functional teams to identify business challenges and develop scalable, data-driven solutions.

Benefits

• Eligibility to participate in bonus and equity programs may be included in the total annual compensation package.
• Paid time off.
• 401(k) with limited matching.
• Medical, dental, and vision benefits.
• Life insurance.
• Disability insurance.
• Flexible spending accounts.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior