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. Key Responsibilities: • 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. Requirements: Must Have: Snowflake, SQL, and Palantir experience (or similar data decision Operational AI). Technical Skills: • AI & Machine Learning: Experience in predictive modeling, NLP, deep learning, and LLM-based applications (e.g., GPT, BERT, LangChain). • Programming: Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, 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 (SageMaker, S3, Redshift), Snowflake, and ML pipeline automation. • Version Control & Collaboration: Proficiency using Git for code versioning and teamwork. Soft Skills: • 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. Preferred Qualifications: • 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.