Data Scientist- AI​/ML , NLP focus

Data Scientist – AI/ML, NLP Focus

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Sacrum Technologies LLC, is seeking a talented Data Scientist to help drive impact using AI and ML.

Onsite mandatory Mon-Thursday – Houston, TX

We are looking for a proactive Data Scientist with strong AI/ML and large language model (LLM) expertise in time‑series modeling.

• 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.

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

• Curious & innovative: passion for 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 (Computer Science, Data Science, Statistics, Engineering, Mathematics, Economics).
• Experience with time‑series modeling and abnormal detection.
• Familiarity with deep learning and generative AI.