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Data Scientist – AI/ML (Time‑Series Focus)

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Robert Half

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Location:
United States , Houston

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are seeking a Data Scientist with a strong AI/ML focus to support advanced analytics and predictive modeling initiatives. This role is ideal for a hands‑on data scientist who combines deep technical expertise in time‑series modeling with the ability to translate complex data insights into clear business value. You will work with diverse datasets to design, train, and deploy scalable machine learning solutions, with opportunities to contribute to projects involving large language models (LLMs), deep learning, anomaly detection, and advanced analytics.

Job Responsibility:

  • Analyze structured and unstructured business data to uncover trends and insights
  • Design, develop, and deploy time‑series forecasting and anomaly detection models
  • Perform feature engineering to improve model performance and reliability
  • Build and optimize machine learning and deep learning models using Python
  • Collaborate with stakeholders to translate analytical findings into actionable business recommendations
  • Develop dashboards, visualizations, and presentations to clearly communicate results to non‑technical audiences
  • Contribute to AI initiatives involving LLMs, NLP, deep learning, or multi‑agent systems as opportunities arise

Requirements:

  • Strong background in time‑series modeling (non‑negotiable)
  • Proficiency in Python and common modeling techniques (e.g., linear regression, random forest, SVM)
  • Experience with anomaly detection and predictive analytics
  • Strong communication skills with the ability to explain technical concepts to business stakeholders
  • Proven ability to drive work independently from problem definition through model deployment
What we offer:
  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan

Additional Information:

Job Posted:
January 09, 2026

Work Type:
On-site work
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