Data Scientist (USA)

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 TensorFlow, 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 Show more Show less