Data Scientist- AI/ML , NLP focus

Data Scientist- AI/ML , NLP focus

·         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. 

Worksite:  Onsite mandatory Mon-Thursday – Houston, TX 

·         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. 

·          

Role:

• 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. 

Key Responsibilities: 

• 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. 

Required Technical Skills: 

• 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. 

Required Soft Skills: 

• 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 methodologies to non-technical audiences. 

Preferred Qualifications: 

• 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.