Data Scientist (AI/ML)

We are seeking a talented Data Scientist to join a high-impact AI initiative focused on enhancing the omni-channel consumer experience. This role will contribute to the development of intelligent “copilot” solutions that help users navigate complex decisions through personalized, data-driven insights. You will work on building and deploying advanced AI/ML models—including Generative AI and LLM-powered systems—that operate together within a scalable architecture. The ideal candidate is passionate about applying cutting-edge AI techniques to real-world problems and delivering measurable business value. Key Responsibilities AI/ML Model Development • Design, develop, and deploy machine learning models to support personalized user experiences. • Apply a range of techniques including supervised and unsupervised learning, NLP, and statistical modeling. • Build and optimize models that leverage large-scale structured and unstructured datasets. Generative AI & LLM Applications • Develop and implement LLM-based solutions, including Retrieval-Augmented Generation (RAG) architectures. • Work with embeddings, vector databases, and prompt engineering to power intelligent applications. • Integrate multiple AI models (ML + GenAI + LLMs) into cohesive, production-ready systems. Data Science & Advanced Analytics • Conduct exploratory data analysis to uncover patterns, trends, and actionable insights. • Develop predictive models and algorithms to improve decision-making and user outcomes. • Apply NLP techniques (e.g., transformers, large language models) to process and understand text data at scale. Productionization & Engineering Collaboration • Partner with engineering teams to deploy models into production environments. • Build and maintain APIs and services that expose model functionality. • Contribute to scalable, reliable AI system design and architecture. Cross-Functional Collaboration • Work closely with product, engineering, and business stakeholders to define use cases and success metrics. • Communicate complex analyses and model outputs to both technical and non-technical audiences. • Translate business challenges into data science solutions that drive measurable impact. Required Qualifications • 3+ years of experience in data science or machine learning roles. • Strong proficiency in Python and common data science libraries (e.g., scikit-learn, Pandas, NumPy); experience with platforms such as Databricks is a plus. • 1+ year of hands-on experience applying NLP techniques (e.g., transformers, GPT-style models) in production environments. • 2+ years of experience working with LLM-based solutions, including RAG, embeddings, and vector databases. • Experience applying a variety of data science techniques, including: • Supervised and unsupervised learning • Natural language processing • Time-series forecasting and statistical analysis • Experience building APIs or services to operationalize machine learning models. Preferred Qualifications • Experience working on consumer-facing or omni-channel digital experiences. • Familiarity with healthcare, insurance, or regulated industries (e.g., Medicare-related domains). • Experience with cloud-based ML platforms and MLOps practices. Technical Skills • Machine learning frameworks and libraries (scikit-learn, PyTorch, TensorFlow, etc.) • LLM tooling and ecosystems (RAG pipelines, vector databases, embeddings) • Data processing and analysis (SQL, Python-based tools) • API development and model deployment • Experience with distributed data platforms (e.g., Databricks, Spark) Core Competencies • Strong analytical, quantitative, and problem-solving skills • Ability to work independently and manage priorities in a fast-paced environment • Excellent written and verbal communication skills, with the ability to present to diverse audiences • Curiosity and passion for applying AI/ML to solve complex, real-world problems