Overview
On Site
Depends on Experience
Full Time
Skills
Python
mathematics
statistics
clean
modular
plotly
bokeh
poc
Job Details
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.