Data Scientist

• Developing effective anomaly detection metrics and monitoring tools to identify potential fraud.
• Analyzing data to detect suspicious activity, identify fraud patterns, and surface emerging trends.
• Partnering closely with cross‑functional teams to share insights and continuously improve fraud mitigation processes.
• Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.
• Participates in the data gathering, data processing and data mining of large and complex datasets.
• Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
• Runs analytical experiments in a methodical manner to find opportunities for product and process optimization.
• Assists in the presentation of business insights to management using visualization technologies and data storytelling.

Data Scientist – Enterprise Fraud

• 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

• Lead a data science team turning commercial questions into production ML and analytics
• Deliver models across families: time-series forecasting, causal modeling, regression, classification
• Set evaluation standards for models and define success metrics
• Integrate AI coding and analysis agents into daily workflow to automate work
• Own CI/CD for ML, model and data versioning, lineage tracking, and monitoring

Senior Manager, Data Science

• Manages a small team of data scientists and data engineers to research, design, develop, deploy, and maintain machine learning, AI, and agentic AI solutions supporting the Claims organization.
• Communicates project progress, insights, results, and recommendations to business partners and senior leadership.
• Manages project scope, expectations, and timelines.
• Collaborates with Data Engineering, IT, and business partners to operationalize machine learning and AI solutions.
• Follows the model governance process including planning, documentation, validation, deployment, monitoring, and review.
• Oversees model performance and supports ongoing monitoring and continuous improvement of deployed solutions.
• Develops and mentors team members to maintain technical excellence in AI/ML, software engineering, and solution design.

Data Science Manager

• Manage the accurate and timely setup and maintenance of business partner and pricing data within company systems.
• Oversee the entry, maintenance, and processing of orders and quotes to ensure accuracy and efficiency.
• Lead and support a team responsible for master data management, order entry, and customer order administration.
• Collaborate with cross-functional teams to document, improve, and implement business processes.
• Approve Product Change Orders (PCOs), maintain pricing information, and participate in new product release activities.
• Ensure timely follow-up on quotes, orders, and product returns.
• Develop training materials, department procedures, and work instructions to support team effectiveness.
• Manage hiring, training, coaching, performance evaluations, and employee development within the department.
• Monitor departmental objectives, maintain ISO compliance, and support continuous improvement initiatives.

Order and Master Data 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

• Work as part of a team to build predictive models and applied LLMs designed to support the Kemper claims operation in areas such as fraud detection, subrogation identification, vehicle damage severity, adjuster triage and claims quality management.
• Develop and automate predictive modeling processes that can be deployed through the organization to solve reoccurring analytics needs.
• Contribute to the improvement of internal modeling capabilities and data infrastructure by suggesting and applying tweaks to existing processes.
• Monitor deployed solutions and escalate as needed.

• Oversee loading and unloading of inbound and outbound freight
• Perform quality checks on freight
• Execute daily inventory cycle counts
• Install server racks and cabling
• Operate material handling equipment
• Ensure safety and cleanliness in work area

Data Center Team Lead – Kitting, C Shift

• Responsible for providing and maintaining effective material orders, customer service, and inventory management as well as various customer material movement requests.
• Responsible for the assembly and installation of servers and various electronic components using a variety of hand tools, power tools and measuring devices.
• Oversee loading and unloading of inbound and outbound freight to and from vehicles and containers including the management of shipping documents and records.
• Perform quality checks on inbound and outbound freight, checking for accurate part numbers, quantities and ensuring material is in pristine condition.
• Execute daily inventory cycle counts and replenishment orders for critical spare parts on site at the datacenter.
• Process return shipments of various electronic components utilizing multiple warehouse management systems.
• Oversee and perform the placement of server racks on the datacenter floor utilizing laser measuring devices with 100% accuracy.
• Oversee and perform the population of electronic components and install cabling into server racks by following provided diagrams and schematics.
• Install rack hardware using various hand, power and measuring tools.
• Operate various types of material handling equipment such as straddle stackers, rack movers and electric pallet jacks.
• Perform and oversee cleanup activities in the work area to ensure safety, cleanliness, and adherence to 5s standards.
• Push, pull and lift frequently throughout the workday.

Data Center Team Lead – Kitting – E Shift

• Provide and maintain effective material orders
• Oversee loading and unloading of inbound and outbound freight
• Perform quality checks on inbound and outbound freight
• Execute daily inventory cycle counts and replenishment orders
• Oversee and perform the placement of server racks
• Install rack hardware and components
• Operate various types of material handling equipment
• Perform cleanup activities to ensure safety and cleanliness

Data Center Team Lead - Kitting, B Shift

• Serve as the global owner for the commercial customer data pillar, with a core focus on accounts and contacts across commercial platforms and systems.
• Design, manage, and maintain core customer data views that support business needs across multiple commercial systems.
• Lead the structure and ongoing maintenance of the Account and Contact 360 views in partnership with business unit stakeholders and cross functional partners.
• Own and maintain the Commercial MDM data structure globally, ensuring account, contact, and related sales data are represented in a streamlined, meaningful, and scalable way.
• Drive simplification across Orthopedics commercial data while preserving the functionality required by business users and commercial teams.
• Partner with business and technical stakeholders to ensure customer data is visualized and reported with quality, accuracy, and clarity.
• Reduce ambiguity and confusion in customer data by establishing clear ownership, definitions, governance, and reporting standards.
• Support product governance activities and maintain partnership with the Data Strategies team to ensure alignment across related data and platform initiatives.

Manager, Global Commercial Data

• Conduct quantitative analysis including hypothesis testing and root-cause analysis on large data sets with more autonomy
• Support the working group by identifying types of information needed for analysis or to inform business questions
• Create data structures/transformations to be leveraged by groups for analysis
• Use statistical analysis and machine learning to develop, maintain, and anticipate considerations in implementation of models that address the right business need
• Use critical thinking to use the right approach for each problem statement
• Anticipate business needs and make continuous improvements to models and processes

Quantitative Analytics Lead Associate

• Develop and maintain analytical models that support demand forecasting, capacity planning, and inventory optimization.
• Analyze sales, production, and supply chain data to identify trends, risks, and opportunities.
• Partner with functional leaders to improve forecast accuracy, service levels, and operational efficiency.
• Build predictive and prescriptive models using advanced statistical, machine learning, or optimization techniques to support SIOP decision-making.
• Perform sensitivity analyses and scenario modeling to support long-term capacity and investment planning.
• Develop algorithms and models that provide forward-looking insight into supply-demand balance, lead times, and production throughput.
• Serve as a key analytics lead in the ERP/MRP system deployment and post-implementation phases.
• Ensure data accuracy, integrity, and consistency across systems through close collaboration with IT, Operations, and Supply Chain teams.
• Support design and validation of ERP data structures (e.g., BOMs, routings, inventory hierarchies) for effective reporting and planning.
• Develop reporting frameworks and KPIs to leverage ERP data for real-time operational insights.
• Drive user adoption by helping build intuitive dashboards and analytical tools that connect business needs with ERP capabilities.
• Design and maintain interactive dashboards and reports (Power BI, Tableau, or equivalent) to track KPIs such as forecast accuracy, lead times, inventory turns, and customer fill rates.
• Translate complex data into clear insights for executive leadership and cross-functional teams.
• Automate recurring data reports and develop robust data pipelines for real-time visibility.
• Partner with IT and Operations to ensure data quality, consistency, and standardization across all systems.
• Contribute to the development of a best-in-class analytics infrastructure to support the company’s growth and digital transformation.
• Identify and drive process improvement opportunities within SIOP and related business processes.
• Support strategic initiatives in production planning, material control, and procurement through analytical insights.
• Partner with Finance and Operations to model performance scenarios and improve alignment between demand and supply.
• Communicate findings effectively to both technical and non-technical audiences.

• Plan, coordinate, and supervise all activities related to the design development, and implementation of organizational reporting and analytics
• Maintain, support, and upgrade reports, dashboards, and data warehouse
• Apply proven communication skills, problem solving skills, and knowledge of best practices to guide the team on issues related to the deployment of information and reports
• Managing data warehouse and reporting infrastructure to help scale reporting needs while maintaining high-performance environment for reporting
• Audit to ensure accuracy of financial data.
• Contribute to team effort by accomplishing related results as needed.
• Protect the organization's value by keeping information confidential.

Data and BI Manager

• Manage the day-to-day construction activities simultaneous on multiple projects to ensure they come in within the schedule and under budget
• Lead a team of external construction project managers
• Coordinate internal resources in support of Supply Chain management for Owner Furnished equipment and resources
• Advocates safety as number one priority on the jobsite and enforces compliance with company and jobsite safety plan and policies and all safety-related regulations
• Lead establishing entitlements to support data centers developments including building permits and all other specific local AHJ processes and required approvals for construction.
• Identify expedited permit opportunities & work with local jurisdictions to enable needed timelines. Source local expert & develop key relationships to support
• Work with construction team project managers on needed permit dates & coordinate with construction teams as appropriate
• Work with design and construction teams to provide schedules needed to achieve project milestones.
• Create & build relationships that enhance Cologix ability to be an industry leader
• Work with the internal and external teams to enhance processes and protocols
• Must be a capable, proven team player that both fosters and operates well within internal and external team environments
• Strong planning skills along with the ability to lead through influence and to be a proactive partner
• Assists in the preparation of construction and development estimates for the project and prepares project budgets and unit cost reports.
• Leads the project team in preparing project planning and organizes and conducts pre-award and pre-construction meetings
• Participates in value engineering services as appropriate, negotiation and preparation of project scopes of work and contracts.
• Reviews plans and specifications and determines their completeness and consistency and plans the successful execution of the construction contract.
• Oversees the contractor’s material and equipment procurement, buyout, and submittals. Ensure budgets are maintained and procurement aligns with the construction schedule.
• Monitors the project site for cost, safety, quality, and schedule performance with the contractors and monitors project quality, safety, and risk management plans.
• Negotiates change orders and manages the resulting cost and budget impact.
• Reviews and approves monthly pay requests.
• Controls the payment of project design and construction costs based on document review and approval. Coordinates with the accounting for payments and lien releases and leads regular job cost reviews.
• Works closely with the commissioning team to ensure coordination of vendors and contractor commissioning teams to achieve turnover to customers.
• Coordinates all final close out procedures for the project as delivered by the contractor, including as-built drawings, close out, letter of substantial completion.
• Continually tracks project costs, allowances, contingencies within the financial software.
• Able to solve problems at a tactical and functional level
• Provide Data-driven action plans for executive decision making to manage and effectively present information in a manner to support efficient decision making
• Mitigate risk for the project through pre-planning, innovative planning, and partnership

Construction Project Manager – Data Centers

• 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

• Lead supply chain planning, negotiations and execution for data center programs
• Work closely with Cost, Scheduling and Design / Engineering teams to provide certainty
• Track Purchase Orders and lead times vs budget, contract terms and forecasts
• Assist in developing mitigation strategy for all OFCI equipment
• Analyze project documents to identify potential risks, opportunities, and cost-saving measures
• Participate in project meetings and provide ongoing support to project teams throughout the project at all phases
• Collaboration with site teams and client leads
• Support program wide efforts to reduce costs and increase cost certainty
• Act as a primary contact for data center clients, ensuring all objectives are achieved
• Travel to client site / office as required

Data Center Supply Chain Lead

• Preparing and managing project / campus budgets through the project life cycle
• Managing the GMP phase and subcontractor selection process
• Review all change orders and payment applications to ensure contract alignment
• Monitor and report project budget performance vs targets for executive team
• Collaboration with site teams and client leads
• Support program wide efforts to reduce costs and increase cost certainty
• Act as a primary contact for data center clients, ensuring all objectives are achieved
• Lead junior staff members and assist with their development

Senior Cost Manager

• 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.

• Lead a team of analysts to deliver recurring and business-as-usual reporting, ensuring timeliness, accuracy, consistency, and appropriate monitoring of automated workflows.
• Promote technical skill growth across reporting tools, data platforms, automation, and AI‑enabled solutions.
• Drive initiatives to improve reporting sustainability through standardized procedures, code reviews, version control and software development best practices.
• Support risk management, regulatory exams, and audit activity through controlled reporting processes and reliable data delivery.
• Provide governance for reporting processes, including expectations for validation, documentation, backups, repeatability, and control readiness.

Data Scientist jobs in Ohio

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Data Scientist – Enterprise Fraud

Data Center Commissioning Project Manager

Senior Manager, Data Science

Data Science Manager

Order and Master Data Manager

Data Scientist

Data Scientist

Data Center Team Lead – Kitting, C Shift

Data Center Team Lead – Kitting – E Shift

Data Center Team Lead - Kitting, B Shift

Manager, Global Commercial Data

Quantitative Analytics Lead Associate

Data Scientist

Data and BI Manager

Construction Project Manager – Data Centers

Data Strategy and Governance Manager

Data Center Supply Chain Lead

Senior Cost Manager

Data Scientist

Data Enablement Manager