Lead Data Scientist, Refining Industry
Tiger Analytics
full-time
Posted on:
Location Type: Hybrid
Location: Houston • Texas • United States
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Job Level
About the role
- Develop, validate, and deploy **statistical, ML, and optimization models** for refining operations
- Build models supporting:
- Unit performance optimization (e.g., CDU/VDU, hydrotreating, cracking)
- Energy efficiency and utilities optimization
- Yield and cut-point optimization
- Predictive maintenance and reliability analytics
- Fouling, corrosion, and anomaly detection
- Apply time-series analysis to high-frequency plant data (DCS, historian)
- Partner with **process engineers, operations, maintenance, and planning teams** to translate refinery problems into analytical solutions
- Incorporate **first-principles knowledge** (mass & energy balances, constraints, process limits) into data models
- Interpret model results in the context of refinery economics, safety, and operability
- Clearly communicate insights to **technical and non-technical stakeholders**
- Quantify business impact (margin improvement, energy reduction, reliability gains)
Requirements
- Bachelor’s or Master’s degree in **Data Science, Chemical Engineering, Applied Mathematics, Statistics, or related field**
- **3–8+ years** of experience applying data science in **downstream refining or closely related process industries**
- Strong proficiency in **Python or R** for data analysis and modeling
- Experience with **time-series data** and industrial process data
- Solid understanding of **refining processes and unit operations**
- Experience working with **historians (PI), SQL databases, and unstructured data**
- Advanced degree (MS or PhD)
- Familiarity with:
- Optimization techniques (LP/NLP)
- Digital twin or hybrid physics + ML models
- Cloud platforms (AWS, Azure, GCP)nced Data Scientists.
Benefits
- This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
- Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
statistical modelsmachine learningoptimization modelstime-series analysisdata analysismodelingPythonRoptimization techniquesdigital twin models
Soft Skills
communicationcollaborationproblem-solvinganalytical thinkingstakeholder engagement
Certifications
Bachelor's degreeMaster's degreePhD