Data Scientist

Location:

Preferable if the candidate is in Sacramento / Atlanta / Denver

Key Responsibilities

• Partner with client stakeholders, product owners, and engineering teams to understand business problems and convert them into AI/ML solutions
• Design, build, and optimize Machine Learning and Deep Learning models for enterprise-scale applications
• Work on advanced AI use cases involving NLP, Predictive Analytics, Recommendation Systems, Time Series Forecasting, and Generative AI
• Analyze structured and unstructured datasets to generate actionable business insights
• Develop scalable data pipelines, model training workflows, and experimentation frameworks
• Build and evaluate AI models using modern ML frameworks and cloud platforms
• Take end-to-end ownership of projects from research, prototyping, and validation to deployment and monitoring
• Stay updated with the latest advancements in AI, LLMs, Agentic AI, and Data Science research
• Collaborate closely with AI/ML Engineers, Cloud teams, and product teams to deliver high-impact enterprise solutions
• Contribute to research initiatives, whitepapers, patents, or publications where applicable

Technical Skills

• Strong programming expertise in Python
• Hands-on experience with Tensor Flow, PyTorch, Scikit-learn, Hugging Face, or similar frameworks
• Strong understanding of Machine Learning, Deep Learning, NLP, Statistical Modeling, and Data Mining
• Experience working with Large Language Models (LLMs), RAG pipelines, or Generative AI frameworks is a plus
• Experience with SQL, data processing, and large-scale datasets
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Knowledge of MLOps, model deployment, Docker, and CI/CD pipelines is preferred
• Strong analytical thinking, experimentation mindset, and problem-solving capabilities

Required Qualifications

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Mathematics, or related quantitative fields is strongly preferred
• Candidates with strong research backgrounds, publications, or thesis work in AI/ML domains will be highly valued
• 2+ years of relevant experience in Data Science, Machine Learning, or Applied AI