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Principal Data Scientist
Principal Data ScientistvTech Solution • Houston, TX, United States
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Principal Data Scientist

Principal Data Scientist

vTech Solution • Houston, TX, United States
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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.

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.

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.

    • Preferred Skills & Certifications :

  • 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.

    • Special Considerations :

  • Not specified.

    • Scheduling :

  • Not specified.
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