Senior Data Scientist - Reinforcement Learning
Houston, TX, United States
USD 75K-86K (estimate) Senior-level Full Time
Tasks
- Collaborate with engineering and platform teams
- Create dashboards and reusable analytic artifacts
- Create executive ready presentations for stakeholders
- Define problems and success criteria for analytics projects
- Design build and evaluate reinforcement learning models
- Document methodologies assumptions results and recommendations
- Ensure data quality reliability and reproducibility
- Integrate reinforcement learning with LLM based agents
- Measure model performance and operational impact
- Own reinforcement learning and agentic AI initiatives end to end
- Perform data exploration and simulation for learning environments
- Train validate and deploy models in production workflows
Perks/Benefits
- 401k match
- Dental insurance
- Life insurance
- Medical insurance
- Paid Holidays
- Paid vacation
- Personal days
- Short-term disability
- Stock purchase plan
- Vision insurance
Skills/Tech-stack
AWS | Actor-Critic methods | Actor-critic | Agentic AI | Agile | Computer Vision | Confluence | Data Mining | Data Visualization | Experiment tracking | Feature Engineering | Jira | LLM Agents | Language Models | Large Language Models | Machine Learning | Microsoft Azure | Offline Reinforcement Learning | Policy Optimization | Preference Learning | Python | Reinforcement Learning | SQL | Simulation | Snowflake
Education
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