Lead Data Scientist

Develops complex queries and performs extensive programming to access, transform, and prepare largescale data for statistical modeling and AI applications.

Leads diagnostic, predictive, and prescriptive analytics initiatives to support strategic and operational decision-making.

Identifies data inconsistencies, documents assumptions, and addresses data quality gaps to ensure reliable model outcomes.

Designs, trains, evaluates, and deploys machine learning and AI models (e.g., supervised/unsupervised learning, NLP, timeseries, optimization).

Apply generative AI techniques (e.g., LLMs, embeddings, prompt engineering, agents) to enable automation, insight generation, and intelligent user experiences.

Guides model validation, performance monitoring, explainability, and responsible AI practices.

Engages with business and technology stakeholders to understand problems, formulate hypotheses, and translate requirements into analytic and AI solutions.

Serves as an AI and analytics expert on cross functional initiatives, contributing to enterprise wide data and AI maturity.

Prepares and delivers clear, concise insight presentations and recommendations to technical and nontechnical audiences., * AI solutions that measurably improve efficiency, insight quality, and decision speed.

Scalable, well governed models that are trusted by business partners.

Clear storytelling that connects AI outcomes to business value.

7+ years of experience in data science, analytics, or related quantitative roles.

Strong programming skills (e.g., Python, SQL) for data wrangling, modeling, and production ready solutions.

Handson experience with statistical modeling and machine learning techniques.

Proven ability to translate complex analytical results into business insights.

Experience with generative AI, LLMs, vector databases, or AI orchestration frameworks.

Familiarity with cloud based data and AI platforms.

Experience working in regulated or largescale enterprise environments.