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