Data Scientist

About the Role  As a Data Scientist II, you will contribute to the design, development, testing, and delivery of data science, Machine Learning, Generative AI, and Agentic AI solutions that address business needs and improve customer experiences. You will apply statistical analysis, predictive modeling, Large Language Models, Retrieval-Augmented Generation, and modern AI frameworks to build reliable analytical and intelligent capabilities.  This individual contributor role participates across the data science lifecycle, from data collection and preprocessing through model development, evaluation, integration, and production support. Working with a moderate level of guidance, you will solve complex technical problems, collaborate with senior data scientists and cross-functional partners, and expand your knowledge of enterprise AI technologies, business processes, and customer needs.  Key Responsibilities  Develop data science and AI solutions: Prepare and analyze structured and unstructured data, engineer features, and contribute to predictive models, NLP and LLM solutions, RAG pipelines, intelligent assistants, and Agentic AI workflows.  Evaluate and improve solution quality: Apply suitable metrics, test datasets, error analysis, experiment tracking, model validation, performance testing, and responsible AI checks to improve accuracy, relevance, reliability, latency, and cost.  Support deployment and engineering: Build reusable code, APIs, notebooks, pipelines, containers, model artifacts, monitoring components, and automated workflows with engineering and senior data science team members.  Collaborate, communicate, and maintain standards: Translate requirements into assigned deliverables, communicate insights through visualizations, prototypes, reports, and documentation, and manage code, data, and experiments in line with security, privacy, governance, version control, responsible AI, and current ML and AI practices.  Required Qualifications  Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering, or a related quantitative field.  3+ years of relevant professional experience in Data Science, Machine Learning, Artificial Intelligence, analytics, or AI-focused software development.  Hands-on experience preparing data, conducting exploratory analysis, building features, developing models, and evaluating results for practical business problems.  Experience contributing to at least one Machine Learning, NLP, Generative AI, LLM, RAG, or Agentic AI solution through development, testing, integration, or production support.  Working knowledge of model validation, experiment design, performance metrics, data quality, and reproducible development practices.  Ability to complete a range of technical assignments and solve moderately complex problems within established policies, procedures, and architectural patterns.