Data Scientist

• The Lead Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions.
• Works on problems of diverse scope and complexity ranging from moderate to substantial.
• Develops, maintains, and collects structured and unstructured data sets for analysis and reporting.
• Creates reports, projections, models, and presentations to support business strategy and tactics.
• Advises executives to develop functional strategies (often segment specific) on matters of significance.
• Exercises independent judgment and decision making on complex issues regarding job duties and related tasks and works under minimal supervision.
• Designs predictive models and forecasting capabilities to estimate measure-level and contract-level Star Rating performance.
• Drives the maintenance and enhancement of existing forecasting models, while also identifying opportunities for the team to advance what we deliver associated with Star Rating forecasts and make the connection to action simpler for teammates and leaders.

Lead Data Scientist, Stars Analytics

• Define reference architecture for agentic AI solutions
• Establish design patterns for Retrieval-Augmented Generation (RAG), Multi-agent orchestration
• Guide use-case prioritization and platform selection
• Build and deploy production-grade AI agents
• Implement: Prompt engineering, workflows, API integrations
• Establish enterprise AI guardrails, including Security and Data governance
• Configure and deploy Azure OpenAI / model endpoints
• Co-build pilot agents with consultants and internal teams
• Enable internal teams on agent design patterns and Responsible AI practices

Senior Data Scientist

• Serve as the primary point of contact for At Work-related data and analytics needs
• Partner with CAPTRUST’s centralized data team to prioritize, design, and improve data solutions supporting At Work
• Help establish consistent definitions, metrics, and reporting standards across the At Work practice
• Improve data quality, clarity, and usability over time
• Support and enhance internal and client-facing reporting used by At Work teams
• Work closely with Operations to understand recurring reporting needs and reduce one-off or manual efforts
• Develop dashboards and reports that support operational planning, advisor effectiveness, and leadership decision-making
• Translate reporting outputs into insights that inform action, not just describe activity
• Develop qualitative and quantitative measures of client and participant engagement, trust, and relationship health
• Help establish ongoing feedback loops across the client and participant lifecycle, beyond episodic surveys
• Identify trends that signal strengthening relationships, stagnation, or potential breakdowns
• Support analysis related to the annual financial wellness survey and other experience-related initiatives
• Analyze patterns associated with strong long-term outcomes such as sustained engagement, retention, and expansion of advisory relationships as needs evolve
• Partner with leadership and Operations to identify where additional investment of time or resources may be needed
• Help reduce reliance on anecdotal feedback through clearer, shared insight

Data & Analytics Lead

• Gather, preprocess, and validate datasets from internal and external sources.
• Identify trends, patterns, and anomalies using statistical and visual techniques.
• Build and evaluate predictive models using machine learning algorithms.
• Create dashboards and visual reports to communicate findings to stakeholders.
• Maintain clear records of methodologies, code, and project outcomes.
• Work closely with cross-functional teams to align data solutions with business needs.

Data Science, AI Intern

• Leverage a broad range of techniques to turn data into actionable business insights
• Tackle complex analytical problems and uncover trends
• Operate in a fast-paced environment managing projects end-to-end
• Work with stakeholders to identify opportunities for leveraging company data
• Mine and analyze data to drive optimization and improvement
• Develop custom data models and algorithms
• Communicate business requirements to ensure buy-in from all departments
• Participate in projects to provide data and analyses as needed

• Support data collection, cleaning, transformation, and exploratory analysis for ongoing projects.
• Assist in developing, testing, and improving machine learning and LLM models.
• Perform deep-dive analysis to evaluate model behavior, output quality, and performance across different approaches.
• Help refine prompts, evaluation criteria, and testing workflows to improve consistency and outcomes.
• Partner with cross-functional teams to translate business questions into analytical solutions.
• Build reports, visualizations, and dashboards to communicate insights to technical and non-technical stakeholders.
• Document methods, experiment results, and recommendations clearly and thoroughly.
• Participate in team meetings, project discussions, and implementation reviews.

See all jobs on JobTailor

Lead Data Scientist, Stars Analytics

Senior Data Scientist

Data & Analytics Lead

Data Science, AI Intern

Data Scientist

Innovation, Data Science Internship