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6 results for Data Scientist Iii in Columbus, OH

Data Scientist: III

Columbus, OH
onsite
Temporary / Contract
47 - 52 USD / Hourly
OverviewWe are seeking a highly analytical Data Scientist / Advanced Analytics Specialist to leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex business data. This role focuses on building data‑driven models, conducting large‑scale experimentation, and influencing business decisions through actionable insights.The ideal candidate is intellectually curious, thrives in ambiguous problem spaces, and enjoys applying cutting‑edge analytics techniques to real‑world business challenges. Key Responsibilities<ul><li>Apply advanced analytics methods to extract value from structured and unstructured business data</li><li>Design and execute large‑scale experiments and develop data‑driven models to answer complex business questions</li><li>Conduct research on emerging techniques and tools in machine learning, deep learning, and artificial intelligence</li><li>Define requirements used to train, evaluate, and evolve predictive and deep learning models</li><li>Analyze results and present data‑based recommendations to product, business, and technical teams</li><li>Influence decision‑making through clear, compelling data storytelling and insights</li><li>Support ongoing analytics initiatives and perform additional duties as assigned</li></ul>
2026-05-08T00:00:00Z

Data Scientist: III (Senior)

Columbus, OH
onsite
Temporary / Contract
53 - 58 USD / Hourly
Data Scientist III (Senior)Location: Hybrid Columbus, OH Service Type: 13 Week Contract to Hire Pay: Available on W2 Basis Job SummaryA leading financial services organization is seeking a skilled and data‑driven Senior Data Scientist to join its Enterprise Analytics team. This role supports the company’s growth strategy by delivering data‑driven insights and uncovering opportunities that enhance customer experience and value delivery.The Senior Data Scientist will partner closely with business stakeholders using a consultative approach to analyze customer, product, channel, and digital data. This role focuses on translating complex analytical findings into actionable, intuitive insights that guide strategic decision‑making. The position requires strong technical expertise, clear communication skills, and a passion for optimization, data storytelling, and visualization.This is a highly visible role with the opportunity to collaborate across teams such as Product, Marketing, Finance, Data, and senior leadership, while contributing to initiatives that shape enterprise‑level strategy.Team OverviewThis position sits within an Enterprise Data & Analytics organization composed of analytics and data science professionals experienced with tools such as R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target. The team primarily supports Digital and Omnichannel initiatives but frequently partners across the organization, including Product, Marketing, Consumer Sales and Operations, Business and Commercial Banking, Private Client, Payments, and IT.The team operates within an Agile framework and supports projects across the full lifecycle—from ideation through delivery—on large, high‑impact initiatives. The environment is fast‑paced and collaborative, offering opportunities to influence both individual projects and broader organizational direction. Key Responsibilities<ul><li>Apply advanced analytics methods to extract value from complex business data</li><li>Design and execute large‑scale experiments and build data‑driven models to address business questions</li><li>Research and evaluate emerging techniques and tools in machine learning, deep learning, and artificial intelligence</li><li>Define data and modeling requirements to train and evolve predictive and deep learning models</li><li>Present data‑driven insights and recommendations to influence product and business teams</li><li>Partner with cross‑functional stakeholders to support data‑informed decision‑making</li><li>Perform additional duties as assigned</li></ul>
2026-05-05T00:00:00Z

Data Engineering Manager

Columbus, OH
remote
Permanent / Full Time
110000 - 120000 USD / Yearly
We are looking for an experienced Data Engineering Manager to lead the strategic development and management of our enterprise data warehouse in Columbus, Ohio. This position combines technical expertise with leadership responsibilities to ensure data assets are efficiently structured, integrated, and utilized for operational processes, analytics, compliance, and external partnerships. The ideal candidate will drive innovation while maintaining robust data architecture standards to support the organization's long-term goals. Responsibilities: • Oversee the design, implementation, and optimization of the enterprise data warehouse and associated reporting systems. • Ensure seamless data integration between source systems, analytics platforms, and reporting tools to maintain accuracy and reliability. • Collaborate with various teams to align data structures and solutions with organizational objectives. • Provide strategic direction for data architecture and recommend scalable solutions aligned with industry best practices. • Develop and enforce standards for enterprise reporting, key performance indicators, and consistent data definitions. • Promote uniformity in business rules and metric calculations across departments to ensure credible and authoritative data outputs. • Review and validate data workflows, transformations, and reports to ensure completeness and accuracy. • Identify and implement system improvements to enhance the functionality and efficiency of data platforms. • Address and resolve issues related to data integrity or reporting disruptions, ensuring minimal downtime. • Mentor team members and provide technical guidance to build a highly skilled and capable team.
2026-04-22T00:00:00Z

Business Systems Analyst (IT): III (Senior)

Columbus, OH
onsite
Temporary / Contract
35 - 45 USD / Hourly
We are looking for a senior Business Systems Analyst to support complex data and reporting initiatives for a Long-term Contract position based in Columbus, Ohio. In this role, you will convert business and regulatory needs into well-defined data requirements, partnering with technical and functional teams to build dependable, traceable reporting solutions. The ideal candidate brings strong experience in enterprise data warehousing, source-to-target mapping, and data validation within banking or financial services environments. Responsibilities: • Lead the creation and maintenance of end-to-end source-to-target mapping documents, defining transformation rules and preserving clear data lineage from source systems through reporting layers. • Analyze data across upstream applications and warehouse structures to confirm accuracy, investigate discrepancies, and support reconciliation efforts for auditable reporting. • Develop and refine validation queries, exception reporting, and quality checks to verify that business rules are implemented correctly in data processes. • Partner with data engineering, finance, risk, and business stakeholders to translate requirements into scalable data designs that support reporting and analytical needs. • Research business issues and system behavior to identify requirements, assess solution options, and guide design decisions for data-focused initiatives. • Support ETL and batch processing activities by aligning job logic, parameter settings, restart considerations, scheduling expectations, and operational documentation with approved specifications. • Produce and maintain project artifacts such as business requirements documents, mapping workbooks, design documentation, test plans, and runbooks. • Participate in defect resolution, production readiness reviews, and change management discussions to help ensure stable delivery of reporting capabilities.
2026-05-08T00:00:00Z

Cloud Solutions Engineer IV (Lead)

Columbus, OH
onsite
Temporary / Contract
56 - 60 USD / Hourly
We are seeking a Cloud / AI Engineer to be responsible for designing, building, and deploying production‑ready AI agents that support enterprise workflows. This is a hands‑on, execution‑focused role that works with modern agent platforms such as Microsoft Copilot Studio, AWS Agent Core services, and Google Vertex AI to deliver secure, reliable, and well‑governed AI solutions across the organization. Key Responsibilities:· Design, build, and deploy AI agents using Microsoft Copilot Studio, AWS Agent Core services, and Google Vertex AI· Develop agent workflows including intent handling, tool calling, memory management, and multi‑step task execution· Create and optimize prompts, system instructions, and grounding strategies to ensure consistent and predictable agent behavior· Implement Retrieval‑Augmented Generation (RAG) architectures using enterprise data sources, APIs, and document repositories· Integrate AI agents with enterprise systems and APIs such as ServiceNow, internal platforms, and cloud services· Deploy and manage agents across development, test, and production environments· Implement security controls including identity management, authorization, and data access boundaries for AI agents· Monitor agent performance through logging, usage analysis, and quality metrics to improve reliability and effectiveness· Troubleshoot agent behavior, tool failures, and system integration issues· Collaborate with platform, security, and application teams to deliver approved AI agent use cases
2026-04-15T00:00:00Z

Tableau Platform Engineer

Dublin, OH
onsite
Temporary / Contract
45 - 55 USD / Hourly
We are looking for an experienced AWS Platform Engineer SR to join a Contract position supporting a growing data science platform in Dublin, Ohio. This role focuses on building, maintaining, and improving cloud infrastructure that enables analytics, AI/ML, and data-driven product teams to work efficiently at scale. The ideal candidate will bring strong experience in platform engineering, automation, and secure environment management across AWS-based ecosystems. Responsibilities: • Maintain and enhance cloud infrastructure that supports data science, analytics, and machine learning workloads across the platform. • Build and release new environments through automated delivery pipelines, enabling scalable and repeatable deployments for technical teams. • Administer large, multi-environment AWS landscapes and prepare the platform to support expanding business and engineering needs. • Establish and oversee image lifecycle practices to improve consistency, governance, and operational stability across hosted environments. • Configure and manage AWS accounts dedicated to the data science ecosystem while applying appropriate access controls and platform standards. • Use tools such as Azure DevOps and Terraform to automate provisioning, deployment, and ongoing infrastructure management. • Develop scripts and lightweight applications in Python to streamline platform tasks, integration needs, and operational support. • Support database and data access technologies including Athena, Oracle, MySQL, and PostgreSQL within cloud-based solutions. • Partner with network, database, infrastructure, and architecture teams to resolve issues, strengthen security controls, and support upgrades, patching, root cause analysis, and on-call needs.
2026-04-27T00:00:00Z