7 results for Data Scientist Iii Senior in Columbus, OH

Data Scientist: III (Senior)

Columbus, OH
onsite
Temporary
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>
2026-04-13T00:00:00Z

Data Scientist: III (Senior)

Columbus, OH
onsite
Temporary
35 - 45 USD / Hourly
We are looking for a highly skilled Senior Data Scientist to join our Enterprise Analytics team in Easton, OH. This long-term contract position offers the opportunity to leverage cutting-edge data science techniques to drive business insights and optimize customer experiences. As part of a centralized team, you will collaborate across departments to influence strategic decisions and deliver actionable insights that align with organizational goals. This will be a contract-to-permanent role, 4 days onsite per week in the Easton neighborhood of Columbus. Responsibilities:• Utilize advanced analytics techniques to analyze business data and uncover actionable insights.• Develop and implement large-scale experiments and data-driven models to address complex business challenges.• Conduct research on emerging tools and methodologies in machine learning, deep learning, and artificial intelligence.• Define requirements for training and evolving deep learning models and algorithms.• Present data-driven recommendations to product teams and other stakeholders to guide decision-making.• Partner with cross-functional teams, including Marketing, Finance, IT, and Sales, to support organizational goals.• Create intuitive data visualizations and performance metrics to enable stakeholders with actionable insights.• Collaborate within an Agile development framework to support projects from inception to delivery.• Influence the direction of the organization through impactful analytics and strategic consultation.• Perform other duties as needed to support the broader analytics team.
2026-04-10T00:00:00Z

Data Scientist: III

Columbus, OH
onsite
Temporary
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>
2026-04-14T00:00:00Z

Data Scientist: II (Intermediate)

Columbus, OH
onsite
Temporary
35 - 42 USD / Hourly
Data Scientist 3 month Contract to Hire Location: 4x Onsite Hybrid Columbus, OHPay: Available on W2 A leading financial services organization is seeking a data-driven Data Scientist to join its Enterprise Analytics team. In this role, you will leverage customer, product, channel, and digital data to uncover opportunities that enhance consumer experience and drive business growth. You will translate complex analytical findings into clear, actionable insights for stakeholders across Product, Marketing, Digital, and senior leadership.This position offers the chance to influence strategic decisions across the enterprise while working within a collaborative, high-performing analytics and data science group. Responsibilities<ul><li>Transform data from enterprise analytics tools into actionable insights related to customer behavior, digital sales, servicing performance, and value delivery.</li><li>Communicate findings and recommendations clearly to internal stakeholders and senior leadership.</li><li>Participate in cross-functional initiatives, providing opportunity analysis, measurement plans, dashboards, and post-release/testing analyses.</li><li>Translate complex technical concepts into intuitive visualizations, dashboards, and presentations.</li><li>Extract and analyze data using tools such as Python, R, and SAS.</li><li>Build intuitive, automated dashboards with a focus on anomaly detection and actionable visualization.</li><li>Partner with Digital, Marketing, Product, IT, Fraud, and Risk teams to evaluate initiatives and identify/mitigate risks.</li><li>Develop and refine KPIs and metrics to assess digital and omnichannel performance.</li><li>Create self-service assets that enable business partners to access and interpret data independently.</li><li>Apply automation techniques to streamline manual analytical processes.</li></ul>
2026-04-14T00:00:00Z

Data Engineer

Columbus, OH
onsite
Temporary
38 - 44 USD / Hourly
We are looking for an experienced Data Engineer to join our team on a contract basis in Columbus, Ohio. In this role, you will take on a leadership position, driving the development and optimization of data pipelines that support enterprise-wide analytics and decision-making. You will also play a key role in mentoring team members, fostering collaboration, and ensuring the integrity and quality of data across various business functions. Responsibilities:• Design, develop, and maintain efficient data pipelines to support enterprise analytics and reporting.• Collaborate with business analysts and data science teams to refine data requirements and ensure alignment with organizational goals.• Enhance and automate data integration and management processes to improve operational efficiency.• Lead efforts to ensure data quality by testing for accuracy, consistency, and conformity to business rules.• Provide training and guidance to team members and other stakeholders on data pipelining and preparation techniques.• Partner with data governance teams to promote vetted content into the curated data catalog for reuse.• Stay updated on emerging technologies and assess their impact on current systems and processes.• Offer leadership, coaching, and mentorship to team members, encouraging attention to detail in their development.• Work closely with stakeholders to understand business needs and ensure solutions meet those requirements.• Perform additional duties as assigned to support organizational objectives.
2026-03-24T00:00:00Z

Data Engineer

Columbus, OH
onsite
Temporary
45 - 55 USD / Hourly
We are looking for an experienced Senior Data Engineer to join our team on a contract basis in Columbus, Ohio. In this role, you will take the lead in designing, building, and optimizing data pipelines to support enterprise-wide data initiatives. You will collaborate with cross-functional teams, ensuring that data solutions are aligned with business needs while maintaining high standards of data quality and consistency. This position offers an excellent opportunity to mentor team members and contribute as a technical leader while driving innovation in data engineering. Responsibilities:• Design, develop, and maintain scalable data pipelines to support data-driven decision-making across the organization.• Collaborate with data scientists and business analysts to refine data requirements and ensure seamless integration for analytics initiatives.• Implement automation in data integration processes to enhance efficiency and scalability.• Train team members and other stakeholders in data preparation techniques to improve data accessibility and usability.• Ensure data quality by testing for accuracy, consistency, and compliance with business rules.• Partner with data governance teams to promote curated data content for reuse and standardization.• Provide leadership and mentorship to team members, fostering growth and collaboration within the team.• Analyze emerging technologies and assess their potential impact on data engineering processes.• Work closely with stakeholders to understand business needs and deliver tailored data solutions.• Demonstrate attention to detail while building strong relationships across departments.
2026-04-01T00:00:00Z

Cloud Solutions Engineer IV (Lead)

Columbus, OH
onsite
Temporary
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
2026-04-14T00:00:00Z