Data Scientist

Job Summary W e are seeking a Data Scientist with experience supporting sales workflows, ideally within the insurance industry, to contribute to data preparation, insight generation, and evaluation activities for our GenAI-powered sales enablement platform. This role blends strong analytical skills with an understanding of advisor and sales team operations, requiring ownership of moderate-scope analytics projects, translation of data into business recommendations, and collaboration across diverse data systems. Key Responsibilities Prepare, clean, and analyze datasets for training, validating, and evaluating GenAI/LLM features. Collaborate with product, sales, and business stakeholders to understand workflows, data requirements, and performance metrics. Build dashboards and reporting assets to track adoption, performance, and business impact. Support prompt evaluation, annotation, and quality assurance tasks for AI outputs. Contribute to structured knowledge bases, taxonomies, and metadata supporting RAG systems. Generate actionable insights to optimize sales processes and improve advisor/end-user experiences. Deliver analytics-enabled solutions that support business goals and process improvement. Analyze complex datasets and connect data sources across multiple internal systems. ranslate analytical findings into business language and recommend solutions to stakeholders. Document data sources, contribute to structured processes, and support closed-loop tracking. Engage subject matter experts to understand business processes and build collaborative networks. Provide guidance and mentorship to junior analysts or data scientists. Required Qualifications 35 years of experience as a Data Analyst, Data Scientist, or in a related analytical role. Strong Python skills. Proficiency with BI tools (Power BI, Tableau, or similar). Background working with sales datasets; insurance industry exposure is a plus. Ability to translate ambiguous business questions into structured analytical approaches. Bachelors degree in Statistics, Math, Computer Science, Engineering, or equivalent technical experience. Working knowledge of classical statistical methods (regression, clustering, PCA, decision trees, survival analysis). Familiarity with machine learning techniques and AI/ML toolkits. Experience navigating large, diverse datasets using structured analytical methods. Comfort with data modeling concepts and relational databases. Strong communication skills to translate technical insights into business recommendatio ns. Preferred Qualifications (if any) Curiosity about GenAI and eagerness to learn LLM workflows, evaluation techniques, and best practices. Experience with MLOps, Azure, Databricks, or RAG pipelines. Certifications (if any) None required; relevant technical certifications are an asset. Typical Day Participate in daily project updates with the core team. Communicate with business partners to confirm requirements and timelines. Propose and implement technical solutions based on business needs. Perform hands-on data preparation, analysis, and development tasks. Draft PowerPoint slides outlining solutions for business stakeholders. Log tasks accurately in Jira. Collaborate with a project team of 45 members plus the Data Infrastructure team. Report directly to the Project Team Lead. Candidate Requirements Mu st-Have Skills Strong problem-solving mindset GitHub/Git proficiency ML fundamentals (EDA, feature engineering, model testing) LLM experience (context engineering, prompt engineering, guardrails) Strong communication skills to translate technical concepts into business lang uage Nice-to-Have Skills MLOps Azure & Databricks RAG pipelines Years of Experience 35 years Degrees/Certifications Required Bachelors degree in Statistics, Math, Computer Science, Engineering, or equivalent technical experience Candidate Disqualifiers W eak Python skills Lack of ownership or initiative Measures of Success Ability to accurately assess effort required for tasks without deviating from scope or timelines. Effective handling of blockers and escalations with feasible alternatives. Delivery of actionable insights and analytics solutions that improve sales workflows. Education: Bachelors Degree