Data Scientist

Job Title:

Data Scientist — AI/ML Focus Worksite:
Onsite mandatory Mon-Thur — Houston, TX

Contract length: Dec 22, 2025 — Jun 30, 2026

Hybrid, Downtown Houston

We are seeking a curious, proactive, and innovative Data Scientist with a strong foundation in AI/ML and Large Language Models (LLMs) to join our team. The ideal candidate has experience blending various datasets, building statistical/machine learning models, and deploying AI-driven solutions that drive business impact.

This role involves working with LLMs, natural language processing (NLP), and deep learning techniques to develop AI-powered applications. You will play a pivotal role in designing, training, and deploying scalable AI/ML models, while also translating complex data insights into actionable business strategies.

• AI/ML Model Development:
  Design, train, and fine-tune machine learning and deep learning models, including LLMs, for predictive analytics, automation, and AI-driven decision-making.
• Data Analysis & Feature Engineering:
  Collect, process, and analyze structured and unstructured data, engineering relevant features to improve model performance.
• Agent-Based & NLP Applications:
  Develop LLM-based AI solutions with a focus on prompt engineering, fine-tuning, and inference optimization.
• Business Impact & Decision Support:
  Translate complex data science methodologies into actionable insights, collaborating with stakeholders to drive business value.
• End-to-End Model Deployment:
  Work with MLOps best practices to deploy and monitor models in production, ensuring scalability, efficiency, and reliability.
• Data Storytelling & Visualization:
  Develop clear, compelling presentations and dashboards to communicate findings to non-technical stakeholders.

Must Have:
Snowflake, SQL, and Palantir experience (or similar data decision Operational AI).

• AI & Machine Learning:
  Experience in predictive modeling, NLP, deep learning, and LLM-based applications (e.g., GPT, BERT, Lang Chain).
• Programming:
  Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, Tensor Flow, Hugging Face).
• Data Engineering & SQL:
  Ability to write efficient SQL queries to blend and structure data from multiple sources for modeling and analysis.
• Cloud & MLOps:
  Experience with AWS (Sage Maker, S3, Redshift), Snowflake, and ML pipeline automation.
• Version Control &
  
  Collaboration:
  
  Proficiency using Git for code versioning and teamwork.

• Curious & Innovative:
  Passionate about solving complex business problems using data and AI.
• Ownership & Initiative:
  Proactively drive projects from conception to deployment.
• Business Acumen:
  Understand how AI/ML solutions impact business goals and decision-making.
• Effective Communication:
  Ability to explain technical models and AI methodologies to non-technical audiences.

• Graduate degree (Master’s or Ph.D.) in a quantitative field (e.g., Computer Science, Data Science, Statistics, Engineering, Mathematics, Economics).
• Experience with dashboarding tools (e.g., Power BI, Dash, Streamlit) for model performance monitoring.
• Familiarity with reinforcement learning and AI agent-based applications.

This role is ideal for a Data Scientist who wants to work at the cutting edge of AI and ML, leveraging LLMs, NLP, and predictive analytics to drive meaningful impact.