Principal Data Scientist; Onsite in Houston

Principal Data Scientist (Onsite in Houston)

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This range is provided by Augment Professional Services. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$40.00/yr - $40.00/yr

Non-negotiable Must Have Requirements:

• Strong background in time-series modeling is essential.
• Excellent communication skills are highly valued.
• A background in Generative AI and computer vision is helpful, but it is not required.

Job Title:

Data Scientist – AI/ML Focus

Worksite:

Onsite mandatory Mon-Thur – Houston, TX

Summary:

• We are looking for a proactive Data Scientist with strong AI/ML and Large Language Model (LLM) expertise, particularly in time-series modeling.
• The ideal candidate should have experience analyzing diverse datasets, building machine learning models, and deploying AI solutions for business value.
• Responsibilities include developing time-series models from business data, with opportunities to work on deep learning, computer vision, natural language processing, LLMs, and multi-agent systems.
• You will design, train, and deploy scalable time-series models and turn data insights into actionable strategies.

• Data Analysis & Feature Engineering:
  Collect, process, and analyze structured and unstructured data, engineering relevant features to improve model performance.
• Develop, train, and optimize machine learning and deep learning models for time-series analysis and anomaly detection.
• LLM and Agent-based Application:
  Build AI solutions using LLMs, emphasizing prompt engineering, multi-agent systems, fine-tuning, and inference optimization.
• Business Impact & Decision Support:
  Translate complex data science methodologies into actionable insights, collaborating with stakeholders to drive business value.
• Data Storytelling & Visualization:
  Develop clear, compelling presentations and dashboards to communicate findings to non-technical stakeholders.

• A solid foundation in time-series modeling and anomaly detection is required.
• Proficiency in Python and experience with time-series modeling techniques such as linear regression, random forest, and support vector machines are required.
• Strong communication abilities and a track record of collaborating with stakeholders and business owners are important.
• Deep learning, Generative AI, computer vision, data engineering, and ML Ops experience is helpful but not required.

• Curious & Innovative:
  Passionate about solving complex business problems using data and AI.
• Ownership & Initiative:
  Proactively drive projects from conception to deployment.
• Business Acumen:
  Understand how AI/ML solutions impact business goals and decision-making.
• Effective Communication:
  Ability to explain technical models and AI methodology to non-technical audiences.

• Graduate degree (Master’s or Ph.D.) in a quantitative field (e.g., Computer Science, Data Science, Statistics, Engineering, Mathematics, Economics).
• Experience with time-series modeling and abnormal detection.
• Familiarity with deep learning and generative AI.

This role is ideal for a Data Scientist who wants to work at the cutting edge of AI and ML, leveraging LLMs, NLP, and predictive analytics to drive meaningful impact.

Mid-Senior level

Full-time

Engineering and Information Technology

Business Consulting and Services

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