Data Scientist

• 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

• Responsible for end-to-end delivery of data management services
• Collaborate with internal and external customers
• Ensure staff deliver high quality, timely service and meet all regulatory requirements
• Hire, manage staff performance, utilization, retention, process improvements
• Financial management for assigned projects

Manager, Clinical Data Management

• Drive the development of innovative AI based solutions for enterprise stakeholders
• Translate business needs into AI solutions that align with strategic goals
• Design and build best-in-class AI and agent evaluation capabilities
• Deliver the analytical solution to complex business problems
• Document objectives, assumptions and processes

Senior Data Scientist – AI Services, Platforms

• Lead the execution of LINX’s largest and most technically complex projects for large hyperscale customers, including: Design-build engagements, Multi-phase campus installations, Enterprise-wide system deployments, Multi-year contract programs
• Establish executive-level project governance and communication cadence.
• Act as escalation point for client and internal issues.
• Lead cross-functional coordination between operations, engineering, procurement, and field teams.
• Resolve resource conflicts across portfolios to protect schedule and margin.
• Drive proactive schedule compression planning and risk mitigation strategies.
• Serve as primary interface with: Security Directors, CIO / IT Leadership, Facilities Executives
• Lead Quarterly Business Reviews (QBRs).
• Facilitate enterprise roadmap discussions.
• Confidently handle executive-level conflict and negotiation.
• Align project execution with broader strategic account objectives.
• Own full financial performance of assigned projects and programs.
• Drive margin expansion through: Cost forecasting discipline, Labor efficiency oversight, Procurement strategy alignment, Change order optimization.
• Identify financial patterns across multiple projects.
• Monitor backlog health and advise leadership on portfolio exposure.
• Provide leadership with forward-looking financial risk assessments.
• Proactively review: Prime contract terms and conditions, Liquidated damages exposure, Schedule compression liability, Scope gaps and ambiguities.
• Identify early indicators of financial or operational risk.
• Implement mitigation strategies before escalation is required.
• Provide executive-level field support on critical milestones.
• Ensure installation quality, safety compliance, and site organization standards.
• Drive collaboration across multiple trades and subcontractors.
• Oversee large-scale material and logistics coordination for complex deployments.
• Informally mentor and coach Project Managers.
• Influence process improvements across project delivery functions.
• Participate in leadership planning sessions.
• Contribute to continuous improvement of project management standards.
• Strengthen cross-functional alignment across departments.

Senior Data Center Construction Project Manager

• Serve as the technical and strategic backbone of our AI‑powered customer engagement and analytics ecosystem
• Design, build, and maintain advanced RAG and LLM‑driven capabilities that power our virtual agents
• Deliver polished, user‑centric dashboards and analytics products that drive decisions across the business
• Architect scalable data pipelines and develop intuitive front‑end experiences using Next.js
• Translate intricate technical and analytical insights into clear presentations for leadership
• Collaborate closely with business partners to understand needs and deliver end‑to‑end solutions
• Combine AI systems expertise with engineering fundamentals

AI 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 Louisiana

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Data Scientist

Manager, Clinical Data Management

Senior Data Scientist – AI Services, Platforms

Senior Data Center Construction Project Manager

AI Data Scientist

Data & Analytics Lead