Role overview
Job description:
**Job Title:** Data Scientist – AI/ML Focus
**Worksite:** *Onsite Monday–Thursday (Mandatory) – Houston, TX*
**Must-Have Technologies:** Snowflake, SQL, Palantir (or similar data decision/operational AI platform)
**Position Summary**
We are seeking a highly curious, proactive, and innovative **Data Scientist** with deep experience in **AI/ML, NLP, and Large Language Models (LLMs)**. The ideal candidate will excel at blending complex datasets, building predictive and statistical models, and delivering AI-driven solutions that create measurable business impact.
This role will work hands-on with advanced LLMs and modern ML frameworks to design, train, deploy, and optimize AI applications within a real-world operational environment. You will partner closely with business and technical stakeholders to translate data science into clear, actionable strategies.
**Key Responsibilities**
**AI/ML Model Development**
* Design, train, fine-tune, and evaluate machine learning and deep learning models—including LLMs—for predictive analytics and automated decision-making.
**Data Engineering & Feature Development**
* Collect, clean, and analyze structured and unstructured data; engineer features to improve model accuracy and efficiency.
**NLP & Agent-Based AI Applications**
* Build LLM-powered solutions using prompt engineering, fine-tuning, inference optimization, and agent-based architectures.
**Business Decision Support**
* Convert statistical and ML findings into practical insights and recommendations that support strategic decisions.
**End-to-End Deployment (MLOps)**
* Implement, deploy, and monitor ML models using best practices for reliability, scalability, and performance.
**Data Storytelling & Communication**
* Create dashboards, visualizations, and presentations that clearly communicate insights to non-technical stakeholders.
**Required Skills & Experience**
**Technical Expertise**
* Hands-on experience with **AI/ML, NLP, LLM applications (GPT/BERT/LangChain), predictive modeling, and deep learning**.
* Strong proficiency in **Python** and ML frameworks (**PyTorch, TensorFlow, Hugging Face**).
* Advanced SQL skills and experience integrating data from multiple sources.
* Experience with **Snowflake**, **AWS** (SageMaker, S3, Redshift), and automated ML pipelines.
* Strong understanding of version control (**Git**) and collaborative development.
**Soft Skills**
* Highly curious, innovative, and growth-oriented mindset.
* Ability to drive projects independently from ideation to deployment.
* Strong business acumen with the ability to align technical output to business needs.
* Excellent communication skills with the ability to simplify technical concepts.
**Preferred Qualifications**
* Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Statistics, Engineering, or another quantitative discipline.
* Experience using BI or model-monitoring tools (Power BI, Dash, Streamlit).
* Familiarity with reinforcement learning or agent-based AI systems.
**Why This Role?**
This opportunity is ideal for a Data Scientist who wants to work at the forefront of AI innovation—building advanced LLM-based solutions, deploying operational ML models, and driving real business impact within a forward-thinking organization.
Job Type: Full-time
Work Location: In person