Senior Data Scientist, Applied ML
Pay not posted
- Houston, TX · On-site
- 5+ years
- Posted todayNew
What 1,865 senior FDE postings pay: middle half $160K–$220K. Compare pay
Scope desk questions into projects with commercial hypotheses and go/no-go criteria.
The work
- Kind of work
- Builds for teams inside the company
- Time split
- Mostly building
- Project stages
- Proof of concept, Implementation, Operations
- Code
- Writes production code
- Builds for
- Internal teams
- Level
- Senior
- Role
- Individual contributor
What they ask for
- Experience
5+ years Applying machine learning and NLP to real-world data, including taking models to production and supporting them after launch
- Background
- Implementation and data engineering
- Location
Houston, TX · On-site
- Employment
- Full-time
- Tools
- Python, scikit-learn, PyTorch, HuggingFace, Docker, AWS, CI/CD, MCP
What you’ll do
- Build LLM, NLP, multimodal, and time-series models for market signals and disruption analysis.
- Test modelling approaches quickly and stop weak experiments early.
- Deploy and support production models with CI/CD, monitoring, and drift detection.
- Deliver insights through traders’ existing tools and explain results and uncertainty clearly.
What you’ll bring
- 5+ years applying machine learning and NLP to real-world data, including production models supported after launch.
- Direct experience with commercial users in trading, finance, or a similar fast-paced setting.
- Master’s or PhD in a quantitative field, or equivalent industry depth; strong statistics and experimental design.
- Hands-on LLM extraction and classification experience, including evaluation, prompt and retrieval design, and cost and latency trade-offs.
About Vitol
Employee-owned energy and commodities trader supplying oil, gas, power and metals through global trading, logistics and infrastructure networks.
Bootstrapped · 1000–2000 people