Job Description
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
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
💡 Quick Summary
Seeking a career-building opportunity? The Principal Scientists, Data- post position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Houston offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
