Data Scientist (Energy Trading)- Houston, TX)

Love's Travel Stops • Houston, TX

11d • Onsite

About The Position

As a Data Scientist (AI) supporting Musket Corp’s energy trade floor (specializing in refined products), you will develop and deploy advanced AI and machine learning solutions that directly enhance trading performance, market analysis, and operational efficiency. This role blends cutting-edge AI innovation with real-world trading application—turning complex market, logistics, and pricing data into actionable intelligence. If you’re passionate about building technology that moves markets, challenges convention, and drives measurable business value, we encourage you to apply.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, Applied Mathematics, or a related quantitative field required.
• Proven experience applying AI and machine learning techniques to solve real-world commercial or financial problems.
• Exposure to or interest in energy trading, refined products, or commodity analytics
• Proficiency in Python and experience with core ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Working knowledge of SQL and programming languages such as Java, C#, or C++.
• Experience integrating data from market feeds, trade capture systems, or time-series databases).
• Expertise in machine learning model development, optimization, and deployment.
• Strong command of Python and data analysis libraries (NumPy, Pandas, SciPy).
• Experience with big data platforms and cloud-based environments (AWS, Azure, Snowflake).
• Ability to develop end-to-end solutions—from data ingestion to insight visualization—tailored to trading needs.
• Commercial & Analytical Mindset: Deep curiosity about energy markets and the global refined product value chain.
• Ability to translate analytical findings into commercial insights that inform trading strategies.
• Strong attention to detail, accuracy, and data quality.
• Thrives in a fast-paced, trading-driven environment where priorities shift rapidly.
• Collaborative, proactive, and results-oriented with excellent communication skills.

Nice To Haves

• Graduate degree (Master’s or PhD) in AI, Machine Learning, or a related technical discipline preferred

Responsibilities

• AI & Market Analytics Development Build and deploy machine learning models that support refined product trading decisions, such as price forecasting, flow prediction, arbitrage detection, and margin optimization.
• Mine, clean, and analyze large datasets from diverse trading sources—market data feeds, vessel tracking, logistics, and inventory systems—to identify actionable patterns and insights.
• Apply advanced statistical and AI methods (supervised/unsupervised learning, NLP, computer vision) to improve market understanding and risk management.
• Partner with trading analysts and commercial leaders to translate business questions into scalable analytical solutions that improve profitability and trading agility.
• Software & Modeling Write clean, efficient, and production-ready code for model deployment, data pipelines, and algorithmic trading tools.
• Design and implement scalable data science frameworks that integrate with trading systems, databases, and visualization platforms.
• Continuously monitor, evaluate, and refine model performance to ensure reliability and alignment with changing market conditions.
• Innovation & Collaboration Stay ahead of emerging AI trends, open-source tools, and advanced analytics techniques relevant to commodities and financial trading.
• Collaborate cross-functionally with traders, data engineers, and software developers to operationalize models and embed AI-driven insights into daily trading workflows.
• Advocate for data-driven decision-making and help establish best practices for model governance, validation, and version control.
• Other duties assigned as needed.

Benefits

• Cutting-Edge Environment: Be part of a forward-thinking team leveraging the latest technologies to drive business success.
• Collaborative Culture: Work alongside data scientists, analysts, and business partners, fostering creativity and innovation.
• Continuous Learning: Engage with a diverse range of projects and technologies, exp anding your skills and expertise

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees