Job Description

Job Title: Data Scientist

Location: Houston, TX (Fulltime)

Environment: Standard, 5-days onsite

Job Description :

Must-Have (Technical Expertise & Core Responsibilities)

• Data Science & Machine Learning:
  • Strong foundation in mathematics, statistics, and machine learning
  • Experience with exploring and extracting insights from multi-dimensional datasets
  • Proficiency in Python (clean, modular, well-documented code)
  • Experience with data visualization tools (D3.js, Bokeh, Plotly, or similar)
• Domain Knowledge:
  • Ability to understand commodity trading/energy sector datasets and business needs
  • Experience translating complex models into actionable commercial insights

Core Responsibilities:

• Develop and implement machine learning models to transform energy trading operations
• Lead Proof of Concept (PoC) projects including:
  • Automated information extraction from unstructured data
  • Refinery outage prediction
  • Shipping cost forecasting
  • Gas network disruption analysis
• Create data visualizations for both technical and non-technical stakeholders
• Collaborate with domain experts to design user-friendly ML solutions
• Work with Data Science and IT teams to leverage existing tools for business value

Qualifications & Skills:

• Master's/PhD in Computer Science, Data Science, or equivalent experience
• 4-7 years of industry experience working with real-world datasets
• Experience with Agile Scrum development methodology
• C# development experience (plus)

Nice-to-Have (Preferred Experience):

• Background in commodity trading, energy markets, or financial services
• Experience with big data technologies and cloud platforms
• Knowledge of optimization techniques for business applications

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