Data Scientist

• Lead specific compensation data products and manage their performance and development
• Set and communicate product strategy aligned with business goals and client needs
• Improve existing products and help develop and launch new offerings
• Analyze survey results and turn findings into clear insights and client-facing stories
• Recommend product changes, priorities, and pricing to leadership
• Work with internal teams and clients to deliver effective, high-quality solutions on time

Compensation Data Product Manager

• Responsible for mining big data, interpreting and analyzing complex data sets
• Develops and deploys predictive models to analyze company performance and improve customer experiences
• Applies statistical techniques and machine learning algorithms to identify trends within Mazda data
• Collaborates closely with data engineers, analysts, and business stakeholders to integrate data-driven solutions

• Oversee all direct processes of credentialing and provider data entry, from triage through provider enrollment and data maintenance
• Direct oversight for credentialing and re-credentialing of all physicians, mid-level practitioners and organizational providers
• Oversee all activities related to the management of provider data, including the development and management of training materials, policies, and procedures
• Ensure updates (adds, changes, and terminations) for new or existing provider records are made in accordance with health plan policies and state/federal regulations
• Ensure compliance with key performance indicators established by corporate office, NCQA credentialing standards, and state/federal requirements
• Manage updates to and production of hard copy and online provider directories
• Ensure accuracy of provider enrollment specifications and specialty types and demographics

Senior Manager, Credentialing & Provider Data Management

• Oversee Site Commissioning team and provide training for team member career development.
• Meet with Project executives, directors, and managers at the onset of projects to establish commissioning scope, commissioning resources, timelines, and budgets.
• Review Subcontractor Exhibit A scope of work to ensure commissioning scope is included and adequate for the project needs.
• Train Site teams and trade partners in the use of CxAlloy Commissioning database.
• Assist in reviewing and approving commissioning plans.
• Manage Commissioning database for assigned project(s) including assisting in the initial development of database for projects, set up Commissioning checklists, provide user access permissions, develop systems lists, room lists, equipment lists from design documents, and import submittal data.
• Perform audits on project sites to determine performance of commissioning activities.
• Generate Commissioning status reports for each discipline and provide site team and trade partners feedback on deficiencies.
• Responsible for commissioning and overseeing the installation of various equipment and systems on site.
• Ensure products are working according to specifications and meet the client’s needs.
• Execute and manage commissioning checklists as well as equipment status in the commissioning database.
• Engage trade partners to provide startup reports, test reports, IOMs, Spare Parts Lists, etc.
• Lead onsite commissioning meetings with site team and trade partners.
• Partner with Site team to assist in the development of commissioning schedule.
• Attend Pre-construction meetings and lead discussion on roles and responsibilities for commissioning.
• Maintain knowledge of costs and fees associated with the commissioning services Gray offers.
• Understand the effects caused by changes in either the design, engineering, or construction phases and the associated impact on commissioning activities, from the cost, schedule, construction management and construction operations perspectives.
• Knowledgeable of when and how to address issues with customers and internal Gray stakeholders.
• Maintain knowledge in technical aspects of commissioning and design disciplines to represent Gray as the "primary point of contact" in initial project discussions with customers regarding commissioning.

Senior Manager, Commissioning – Data Center

• Join the Digital Process and Systems Analysis group within Process Development
• Provide data infrastructure, platforms, and analytics to support engineering teams across our network
• Ensure state-of-the-art data insights to drive innovation and efficiency for the commercialization and optimization of Amgen’s pipeline
• Support drug substance development, technology transfer, manufacture, and life-cycle management across Amgen’s global network of manufacturing and development sites
• Collaborate as part of a multi-disciplinary team of scientists and engineers
• Lead solutions for open-ended challenges, including modeling, data pipelines, and visualizations to support drug substance development, tech transfer, and manufacturing
• Contribute to the success of Drug Substance Technology organization by helping to digitize workflows

Senior Data Scientist – Process Modeling

• Devising and applying state-of-the-art machine learning techniques to solve business and scientific problems.
• Evaluate AI/ML readiness and provide data acquisition recommendations to bridge gaps.
• Visualize data to discover and communicate solutions and opportunities.
• Contribute to the design and development of data science-powered applications and internal platforms.
• Work with modern data ecosystems (cloud platforms, distributed data systems, and real-time pipelines).
• Collaborate with external partners to bring groundbreaking results to PPG operations.
• Work with global teams to translate innovative ideas into deployable digital products and services with quantifiable business impact.
• Stay current on emerging technologies in AI/ML, software engineering, and applied data science.

• Coordinate the transition of Defined Contribution Plans to DC Plan Services
• Develop a Conversion Strategy with the client
• Review and follow up on data delivery from Prior Recordkeepers
• Produce reports to review with the client

Defined Contribution Data Conversion Lead

• Manage data science solutions from end to end, including business problem definition, data exploration, model development, insight generation, and presentation to senior leadership.
• Develop forecasts to project member eligibility, program volumes, and operational capacity needs.
• Identify and evaluate leading indicators that signal future performance, risks, or opportunities.
• Assist in developing benchmarks, targets, and goals to support program planning and performance management.
• Measure program effectiveness and quantify business impact.
• Create segmentation models to support targeted outreach, intervention planning, and member-level prioritization.
• Build and deploy machine learning models in a cloud-based environment using tools such as Python, PySpark, and SQL.
• Model care gap closure opportunities and assess potential impact on HEDIS Stars measures.
• Translate complex data, modeling approaches, and analytic findings into clear insights for non-technical leaders and stakeholders.
• Collaborate with business partners, data science peers, technology teams, and operational stakeholders to deliver scalable analytic solutions.

Lead 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 Scientist jobs in Kentucky

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Compensation Data Product Manager

Data Scientist

Senior Manager, Credentialing & Provider Data Management

Senior Manager, Commissioning – Data Center

Senior Data Scientist – Process Modeling

Data Scientist

Defined Contribution Data Conversion Lead

Lead Data Scientist

Lead Data Scientist, Stars Analytics

Senior Data Scientist

Data & Analytics Lead