Principal Data Scientist

Job Title: Principal Scientist, Data (AI/ML) Location: Houston, TX 77002 Duration: 6 Months Position Overview We are seeking an experienced and innovative Principal Scientist, Data with a strong specialization in Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs). The ideal candidate brings deep technical expertise in developing, deploying, and optimizing AI-driven solutions while blending diverse datasets to generate meaningful business insights. This role requires hands-on work with Snowflake, SQL, and Palantir (or similar Operational AI platforms), along with advanced experience in predictive modeling, NLP, deep learning, and enterprise-grade model deployment. You will collaborate closely with stakeholders to translate complex data methodologies into actionable strategies that drive measurable business outcomes. Key Responsibilities • AI/ML Model Development: Design, train, validate, and optimize machine learning, deep learning, and LLM-based models for predictive analytics, automation, and intelligent decision-making. • Data Preparation & Feature Engineering: Collect, cleanse, and analyze structured and unstructured datasets, creating high-quality features to enhance model performance. • NLP & Agent-Based Solutions: Build and fine-tune LLM-powered applications, including prompt engineering, inference optimization, and advanced NLP pipelines. • Business Strategy & Insights: Partner with business teams to convert complex statistical outputs into actionable insights that support strategic decisions. • End-to-End Model Deployment: Implement production-ready ML pipelines using MLOps best practices, ensuring scalability, reliability, and stable model performance. • Data Visualization & Storytelling: Create dashboards, visualizations, and executive-level deliverables that clearly communicate insights to technical and non-technical audiences. • Cross-Functional Collaboration: Work closely with engineering, product, and analytics teams to deliver integrated AI/ML solutions aligned with business goals. Must-Have Skills Technical • Strong experience with Snowflake, SQL, and Palantir (or similar decision intelligence / operational AI systems). • Expertise in AI, machine learning, NLP, deep learning, and LLMs (GPT, BERT, LangChain, etc.). • Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Hugging Face. • Strong data engineering experience with data blending, transformation, and modeling. • Cloud experience in AWS (SageMaker, S3, Redshift) and ML automation. • Skilled in version control tools such as Git. Soft Skills • Highly curious, innovative, and proactive problem-solver. • Strong ownership mindset; ability to drive projects from concept to deployment independently. • Excellent communication skills with the ability to articulate technical concepts to non-technical teams. • Strong business acumen and a strategic approach to applying AI/ML in real-world scenarios. Preferred Qualifications • Master’s or Ph.D. in Computer Science, Data Science, Engineering, Statistics, Mathematics, Economics, or a related quantitative field. • Experience with dashboarding tools such as Power BI, Dash, Streamlit, or similar. • Familiarity with reinforcement learning, AI agents, and next-generation intelligent systems.