Principal Data Scientist (Onsite in Houston)

Job DetailsJob Location: Houston, TX 77002Salary Range: $80.00 - $100.00Job Title: Data Scientist – AI/ML Focus Worksite: Onsite mandatory Mon–Thur – Houston, TX Non-negotiable Must Have Requirements A strong background in natural language processing (NLP), computer vision (CV), and generative AI is crucial. A broad background in AI is preferred. Excellent communication skills are highly valued. Summary We are seeking a proactive Data Scientist with expertise in AI and Large Language Models (LLMs), particularly in Natural Language Processing (NLP), Computer Vision (CV), and Generative AI. Your responsibilities will include developing advanced AI models using the latest technology. You will design, train, and deploy AI models, transforming data insights into actionable strategies. Key Responsibilities Develop, train, and optimize machine learning and deep learning models. Build AI solutions using LLMs, multi-agent systems, fine-tuning, and inference optimization. Translate complex data science methodologies into actionable insights, collaborating with stakeholders to drive business value. Develop clear, compelling presentations and dashboards to communicate findings to non-technical stakeholders. Required Technical Skills A broad background in AI, including deep learning, generative AI, computer vision, and natural language processing, is essential. Strong communication skills and a proven track record of collaborating with stakeholders and business owners are also crucial. 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 deep learning and generative AI.