Principal Data Scientist
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Job Location:
Houston, MS - USA
Monthly Salary:
Not Disclosed
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Summary:
The Principal Data Scientist role focuses on developing and deploying AI/ML solutions particularly using Large Language Models to drive business insights. The role involves hands-on work with data platforms advanced modeling techniques and collaboration with stakeholders to translate data into actionable strategies.
The Principal Data Scientist role focuses on developing and deploying AI/ML solutions particularly using Large Language Models to drive business insights. The role involves hands-on work with data platforms advanced modeling techniques and collaboration with stakeholders to translate data into actionable strategies.
Location:Houston Texas United States
Responsibilities:
- Design train validate and optimize machine learning deep learning and LLM-based models.
- Collect cleanse and analyze structured and unstructured datasets creating high-quality features.
- Build and fine-tune LLM-powered applications including prompt engineering and advanced NLP pipelines.
- Partner with business teams to convert statistical outputs into actionable insights.
- Implement production-ready ML pipelines using MLOps best practices.
- Create dashboards visualizations and executive-level deliverables to communicate insights.
- Collaborate with engineering product and analytics teams to deliver integrated AI/ML solutions.
- Design train validate and optimize machine learning deep learning and LLM-based models.
- Collect cleanse and analyze structured and unstructured datasets creating high-quality features.
- Build and fine-tune LLM-powered applications including prompt engineering and advanced NLP pipelines.
- Partner with business teams to convert statistical outputs into actionable insights.
- Implement production-ready ML pipelines using MLOps best practices.
- Create dashboards visualizations and executive-level deliverables to communicate insights.
- Collaborate with engineering product and analytics teams to deliver integrated AI/ML solutions.
Required Skills & Certifications:
- Strong experience with Snowflake SQL and 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.
- 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.
- Strong experience with Snowflake SQL and 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.
- 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 Skills & Certifications:
- Masters 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.
- Masters 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.
Special Considerations:
- Not specified.
- Not specified.
Scheduling:
- Not specified.
- Not specified.
Key Skills
- Machine Learning
- Python
- Data Science
- AI
- R
- Research Experience
- Sensors
- Drug Discovery
- Research & Development
- Natural Language Processing
- Data Analysis Skills
- Toxicology Experience
