Data Scientist

• Frame ambiguous revenue-cycle problems as tractable modeling problems and own them end to end such as claim and invoice viability scoring, denial and underpayment prediction, revenue/ARR prediction, and work prioritization from hypothesis to a validated, monitored result in production
• Build and validate models with statistical rigor: thoughtful feature design, sound handling of missingness and class imbalance, calibration, honest evaluation against simple baselines, and a clear treatment of uncertainty
• Design, build, and maintain the data pipelines feeding these models integrating with source collections, billing, and EHR systems and internal data stores, and handling data collection, cleansing, field mapping, and payer/plan normalization with a bias toward reliability and data quality
• Establish and own MLOps practice: model monitoring and drift detection (e.g., population stability), calibration and threshold selection, benchmarking against simple baselines, explainability (e.g., SHAP and interpretable coefficients), experiment and version tracking, and model documentation such as model cards
• Partner with subject-matter experts to encode business-rule and heuristic logic alongside statistical models where that produces a more accurate or more defensible result
• Gather and document business requirements for revenue-cycle initiatives, including workflows, decision points, stakeholder objectives, operational constraints, success criteria, data availability, and underlying business assumptions, and maintain traceability as those requirements evolve.

Senior AI Data Scientist

• Responsible for the technical delivery both as a project manager and site lead for mission critical commissioning projects with minimal supervision while completing assignments that require independent judgement and evaluation.
• Maintain effective communication with clients, contractors and other project team members.
• Develop and maintain client relationships.
• Manage project specific commissioning plans, commissioning procedures, checklists, test scripts, and schedules for Level 1 through Level 5 commissioning activities.
• Lead onsite teams to perform functional performance tests on mechanical, plumbing, and electrical systems.
• Provide project management and coordination to meet client expectations for technical excellence, budget and schedule.

Data Center Commissioning Project 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

• Manage project deliverables, including developing scope of work and scheduling project reports
• Manage the development of drawings for clients and property/facility management team
• Proactively manage project-related issues as necessary
• Ensure success in initiation, planning, execution, and completion of all projects against agreed upon targets
• Maintain high qualitative and quantitative standards for work performance
• Prepare agendas and meeting materials, lead meetings, and develop and maintain master project budgets and timelines
• Advise and obtain necessary approvals from management of potential organizational changes
• Coordinate and track all vendor RFQ’s and RFP’s
• Review all change orders and other invoices associated with the project

Project Manager, Project & Development Services – Data Center

• Empowering a culture of safety, security, compliance, and transparency in all aspects of data center activities
• Leading and managing a team of high-performing individual contributors at a data center site and their ongoing talent development
• Financial administration of site activities and staff members, tracking budgets, payments and pay cycles
• Managing and overseeing data center site services, resources, and deployment across the data center for the client
• Collaborating and coordinating with multiple internal business groups to ensure the successful delivery of service levels
• Analyzing production operations and initiate corrective actions to ensure operational stability
• Initiate and establish quality standards for the Data center teams and manage those initiatives through to completion
• Learn, live, and coach the Salute culture and values
• Lead through change and challenge by bringing clarity, generating energy, and delivering success
• Operate, monitor, maintain, and respond to abnormal conditions in facilities systems
• Complete planned and ad-hoc preventive maintenance work assignments requiring the skill and direction of several engineering, mechanical, and maintenance trades
• Conduct periodic inspections of building systems, i.e., HVAC, electrical distribution, maintain mechanical equipment rooms to ensure clean and safe conditions
• Rapid response, investigation, and management of indoor emergency situations and air quality complaints
• Have a complete working knowledge on creating, closing, and tracking "work requests" (WR)
• Initiate or respond to work orders, follow-up and verify completion of work
• Monitor performance/note deficiencies of service contractors and recommend changes as necessary
• Managing the workload across all shifts and resources, ensuring a balanced approach to work activity, tasks and the accomplishment of results and outcomes
• In collaboration with the Human Resources manager, performing the functions and planning regarding shift cycles, people and resource deployment, payment, salaries, and other related staff activities, as they may arise
• Perform other related duties and responsibilities as assigned by management
• Additional responsibilities will include but not limited to: Manage multiple complex projects simultaneously, Estimate cost of client installations, Analyze and interpret complex project documents such as AutoCAD and Visio, Analyze and propose solutions with limited information, Interpret instructions furnished in written, oral, diagram or schedule form, Advanced analytical and quantitative skills, Excellent verbal and written communications skills to effectively respond to sensitive and complex issues, The ability to create effective presentations and communicate with both internal and external customers, A demonstrated commitment to customer service for both coworkers and customers, Experience developing operating and maintenance standards and project tracking/management documents, Knowledge of applicable laws and ordinances in performing data, communications, and MEP projects, The skill to provide oversight to team members for guidance and coaching, Experience working well under pressure with a proactive approach, Excellent attention to detail, strong organizational skills, and a willingness to accept new ideas and procedures, Experience using Microsoft office tools like Excel, PowerPoint, and Word to create presentations and reports, Enhance existing skill sets, Direct operations, technical and engineering personnel to ensure established processes and procedures are followed, Perform, or oversee and manage the periodic audits of maintenance MOPs, equipment SOPs and Emergency Operator Procedures (EOPs) to ensure quality, accuracy, and conformance with company standards and industry best practice, Perform periodic audits of site Change Management activity, to ensure accuracy of information and quality of supporting documentation, Collect and report operating metrics for sites to track and monitor site performance and efficiency, Coordinate major activities among sites and track major outstanding issues to resolution, Provide input for and drive the development of client improvement solutions to include accurate descriptions, savings potential, and cost estimates, Develop operating standards, processes, and procedures, rules, and regulations, Review drawings and perform site surveys to identify mechanical, electrical, and control systems and facility operational characteristics, Manage relationships with customer, property management and internal teams and external stakeholders, where applicable and required

Data Center Site Manager

• Support the successful delivery of complex, fast-paced data-center and mission-critical facility projects by providing essential project management assistance in coordination, documentation, scheduling, cost tracking, and vendor management.
• Manage and maintain complete project documentation and records.
• Track budgets, process invoices and change orders, and assist with financial forecasting and reporting.
• Support RFPs, coordinate vendors and material deliveries, and align procurement with schedules.
• Develop and update detailed project charters, logistics plans, schedules; monitor milestones, and report impacts.
• Assist with field activities, QA/QC tracking, commissioning, and contractor coordination.
• Organize meetings, prepare agendas and minutes, and ensure clear communication across teams.
• Compile and deliver closeout materials, including as-builts, O&M manuals, and warranties.
• Support client communications, prepare progress reports, and clarify project requirements.
• Uphold safety, quality, and compliance standards throughout all project phases.

Associate Project Manager – Data Centers

• 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

• Ensure quality and data reconciliation
• Attend and participate in sponsor meetings
• Manage all data management deliverables for assigned studies
• Keep supervisor informed of project status
• Review data and identifying errors/inconsistencies
• Collaborate with appropriate project team to resolve data issues
• Track outstanding issues and following-up until resolution
• Ensure accuracy in manipulation and scrutiny of clinical data

Clinical Data Manager

• Analyze large, complex datasets to identify trends, risks, and opportunities related to customer coverage, banker capacity, and client outcomes.
• Design repeatable analytical frameworks to support strategic initiatives, governance reviews, and leadership reporting.
• Ensure analytical outputs are accurate, auditable, and aligned with enterprise data and governance standards.
• Execute highly complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains.
• Partner with sales leadership teams to inform placement strategy and customer alignment decisions.
• Support enterprise initiatives related to customer assignment, servicing models, and coverage optimization.
• Translate analytical findings into clear business recommendations, highlighting tradeoffs and implications.
• Build executive‑ready presentations (PowerPoint and verbal) for senior leaders, including SVPs and executive committees.
• Clearly communicate complex analytical concepts to non‑technical audiences using data storytelling and visualizations.
• Respond to ad‑hoc leadership requests with concise, high‑impact analyses and recommendations.
• Collaborate with cross‑functional partners (Analytics, Banking, Risk, Operations, Technology).
• Support governance processes by ensuring analytical outputs meet internal standards and documentation requirements.
• Act as a trusted analytics advisor to stakeholders across the organization.

Senior Lead Data Science Consultant

• Develop, update and monitor job progress using QMS program
• Perform quantity take offs, cost estimates and bid solicitation
• Provide research options and regulation information as required
• Purchase and coordinate the delivery of certain materials for the project(s)
• Reviews and approves invoices and change orders
• Negotiate with subcontractors and vendors for specific trades
• Review vendor and subcontractor shop drawing submittals
• Attend weekly job site meetings
• Assist in the preparation of various reports
• Communicate effectively with customer, consultants and subcontractors on the project(s)
• Responsible for the communication, implementation and enforcement of Gray’s safety program

Construction Assistant Project Manager – Data Center

• Build and own the company's data function from the ground up
• Audit and improve existing data infrastructure, tooling, and processes
• Lead a lean data team while remaining hands-on with analysis
• Leverage AI to automate workflows and increase team productivity
• Analyze large datasets to answer strategic business questions
• Deliver investment-grade analyses, dashboards, and executive briefings
• Establish data governance, reporting standards, and analytical best practices
• Partner with Product, Finance, Operations, and Leadership to drive business decisions
• Continuously improve the company's AI-enabled data capabilities

Head of Data

• Supporting the client on procurement strategies, including vendor prequalification, bid evaluation, and coordination of the appointment process.
• Assist in the preparation of detailed cost estimates covering construction, fees, and other project costs.
• Contribute to the development and maintenance of cost plans aligned with early works, site development, and heavy civil scopes.
• Assist in reviewing contractor and vendor proposals, including bid leveling and commercial evaluations.
• Support value engineering exercises and risk assessments, including evaluating cost and constructability impacts.
• Maintain project budgets, spend forecasts, and commercial risk registers under guidance.
• Participate in periodic cost review meetings with project teams, contractors, and stakeholders.
• Track and analyze change orders, supporting recommendations to the client.
• Contribute to dispute avoidance and resolution efforts related to payments and change management.

Cost Manager, Quantity Surveyor – Data Center Construction

• Advise clients on end-to-end solutions across data strategy, data management, and data quality.
• Support business development, methodology development, team leadership, and delivery execution for data governance assessments and implementations.
• Design and develop data governance technology solutions across data quality, data dictionaries, business glossaries, data standards, and data policies.
• Define organizational design, governance processes, policies, roles, responsibilities, success metrics, and operating models for client data programs.
• Build roadmaps covering technology, culture, governance, processes, skills, competencies, data quality, analytics, and data management maturity.
• Lead and collaborate with data governance teams to create business cases, resource plans, implementation roadmaps, and enterprise data system assessments.
• Assess current-state environments, identify client pain points and requirements, and help define a practical vision and strategy for becoming a data-driven organization.
• Advise clients as a trusted partner and provide thought leadership on data governance, data management, cloud transformation, AI readiness, and related best practices.
• Manage resources, budgets, project delivery, team development, training, mentoring, and performance assessment.

Data Strategy and Governance Manager

• Oversee the design, development, and maintenance of data infrastructure and architecture for Oil, Gas, and Remediation projects
• Drive data generation, storage, processing, and warehousing initiatives while ensuring the implementation of effective data management solutions and best practices
• Develop, construct, test, and maintain databases and large-scale data processing systems
• Ensure data is accessible, reliable, secure, and efficiently processed
• Combine, optimize, and manage multiple large-scale data sources
• Create automated reporting systems and data solutions
• Provide software solutions that move data from its source to internal databases, including data warehouses
• Implement and maintain data frameworks and architectures
• Develop and maintain data pipelines to support data analysis, reporting, and business intelligence
• Analyze complex issues and recommend solutions that improve data warehousing processes and methodologies
• Use judgment outside defined parameters and precedents to make decisions and resolve business and technical challenges
• Accountable for the results of assigned projects and processes
• Demonstrate strong proficiency in data programming languages and knowledge of data optimization tools, data structures, data architecture, and data warehousing solutions
• Knowledge of API (Application Programming Interface) integration to support data access, collection, distribution, transformation, and ELT (Extract, Load, Transform) processes
• Apply algorithmic and statistical methods, data processing tools, and AI-enabled approaches to support efficient data consumption and analysis.

Data Manager – Oil, Gas, Remediation

• Advise line of business and companywide functions on business strategies based on research of performance metrics, trends in population distributions, and other complex data analysis
• Provide influence and leadership in the identification of new tools and methods to analyze data
• Ensure adherence to compliance and legal regulations and policies
• Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers
• Lead projects, teams, or serve as a peer mentor to staff, interns, and external contractors
• Develop business strategies that will drive growth, profitability, and competitive advantage for Wells Fargo
• Develop, test, analyze and implement strategies to achieve financial objectives relevant to macro-economic conditions
• Work closely with cross-functional teams (Tech, Product, Risk, Operations)

Senior Lead Analytics Consultant – Auto Originations

• Design, develop, and deploy ML solutions ranging from traditional ML applications (classification, clustering, recommendations) to LLM-based systems, including document parsing, data extraction, RAG pipelines, and LLM agents
• Write clean, maintainable, production-quality Python code that integrates smoothly with existing engineering and deployment infrastructure
• Work with large datasets to clean, preprocess, and analyze data, ensuring data quality and integrity
• Implement and optimize algorithms using best practices in machine learning, deep learning, and statistical analysis
• Collaborate with business stakeholders to understand requirements and deliver data-driven solutions that provide actionable insights
• Develop and maintain scalable pipelines and infrastructure for data processing and model training, versioning, deployment, and monitoring
• Evaluate the performance of machine learning models, including LLM-specific evaluation approaches, and tune models for optimal performance
• Communicate findings, insights, and model performance to both technical and non-technical audiences
• Continuously stay updated on the latest trends, technologies, and best practices

Data Scientist jobs in Arizona

See all jobs on JobTailor

Senior AI Data Scientist

Data Center Commissioning Project Manager

Data Scientist

Project Manager, Project & Development Services – Data Center

Data Center Site Manager

Associate Project Manager – Data Centers

Senior Manager, Credentialing & Provider Data Management

Clinical Data Manager

Senior Lead Data Science Consultant

Construction Assistant Project Manager – Data Center

Head of Data

Head of Data

Head of Data

Head of Data

Head of Data

Cost Manager, Quantity Surveyor – Data Center Construction

Data Strategy and Governance Manager

Data Manager – Oil, Gas, Remediation

Senior Lead Analytics Consultant – Auto Originations

Machine Learning Engineer, Data Scientist