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Director Data Analyst Machine Learning Jobs in Ohio

Mimecast

Machine Learning Engineer II

Columbus, OH

$94K - $128K/yr

In this role, you will embrace the role of "full-stack" data scientist, which will often require ... Understand and influence software architecture decisions to enable the delivery and analysis of ...

Huntington

Senior Data Scientist

Columbus, OH · On-site +1

Up-to-date knowledge of machine learning and data analytics tools and techniques * Strong knowledge in predictive modeling methodology * Experienced at leveraging both structured and unstructured ...

Instacart

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...

Instacart

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...

Huntington

Senior Data Scientist - AI

Columbus, OH · On-site +1

Up-to-date knowledge of machine learning and data analytics tools and techniques Strong knowledge in predictive modeling methodology Experienced at leveraging both structured and unstructured data ...

Instacart

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...

Instacart

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...

Huntington

Senior Data Scientist - AI

Columbus, OH · On-site +1

Up-to-date knowledge of machine learning and data analytics tools and techniques * Strong knowledge in predictive modeling methodology * Experienced at leveraging both structured and unstructured ...

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Showing results 41-60

All JobsData Analyst Machine Learning JobsDirector Data Analyst Machine Learning JobsDirector Data Analyst Machine Learning Jobs in Ohio

Director Data Analyst Machine Learning information

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

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Director Data Analyst Machine Learning jobs near you
Infographic showing various Director Data Analyst Machine Learning job openings in Ohio as of July 2026, with employment types broken down into 1% Internship, 82% Full Time, 7% Part Time, 1% Temporary, 7% Contract, and 2% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Machine Learning Product owner

TriOptus LLC

Cincinnati, OH • On-site

Full-time, Contractor

Re-posted 5 days ago

Job description

Location: Remote (Preference for candidates near Cincinnati, OH or Atlanta, GA)
? Work Model: Hybrid (3 days onsite if converted)
? Employment Type: W2 Contract
? Industry: Financial Services / Payments
Position Overview
We are seeking an experienced Agile Product Owner Specialist to join a high-impact Data Science, ML, and AI team. This role will support the development of innovative, customer-facing products for merchants, with a strong focus on payment optimization and intelligent transaction processing.
You will work across multiple agile teams and play a key role in driving AI/ML-powered product initiatives from concept to delivery.
Key Responsibilities
  • Act as Product Owner for ML/AI-driven products across multiple agile teams
  • Define product vision, roadmap, and backlog aligned with business objectives
  • Collaborate with data scientists, engineers, and stakeholders to deliver scalable AI solutions
  • Translate business requirements into user stories, acceptance criteria, and technical requirements
  • Drive product development for solutions such as smart retry systems and tokenization platforms
  • Ensure alignment between technical execution and business value
  • Participate in agile ceremonies and support continuous product improvement
  • Required Qualifications
  • Proven experience as a Product Owner in Agile environments
  • Strong background in Machine Learning and AI-driven products
  • Experience working with cross-functional data science and engineering teams
  • Solid understanding of product lifecycle and backlog management
  • Strong communication and stakeholder management skills
  • Preferred Qualifications
  • Experience in payments, merchant acquiring, payment service providers, or card networks
  • Background in financial services industry
  • Familiarity with tokenization, payment optimization, and authorization flows
  • Technical Environment
  • Machine Learning / AI
  • Databricks
  • Python
  • SQL
  • AWS
Interview Process
Round 1: Introduction + Problem Solving
Round 2: Technical Interview
(Potential 3rd round if required)
Job Description:
Position summary:
  • Client is seeking an experienced Senior ML Product Owner to join our Data Science & AI team.
  • The products we've deployed to date drive billions of dollars in economic value for our customers annually and we're just getting started.
  • Candidate will serve as the product owner for a cross-functional agile team responsible for end-to-end development of ML/AI products in a high-visibility product area, ensuring that the team's work is optimally and visibly aligned with business needs.
  • This is a contract position with a six month term but has the potential to transition into a full-time role in the future based on performance and business needs.
Key Responsibilities:
Product Vision and Strategy
  • Define and communicate a product vision and roadmap for ML/AI-powered solutions aligned with clearly articulated business objectives.
  • Translate business objectives into well?scoped ML/AI product opportunities, balancing desirability and feasibility.
Backlog Management and Delivery
  • Own and prioritize the product backlog, ensuring clarity of requirements for cross-functional teams.
  • Write detailed user stories, acceptance criteria, and ML/AI-specific requirements (e.g., data availability, model performance thresholds).
  • Partner with technical teams to ensure timely, high-quality delivery of product increments, surfacing impediments early.
Cross-Functional Collaboration
  • Serve as the primary liaison between business stakeholders (product managers and line of business stakeholders) and technical teams, ensuring alignment through high-bandwidth communication and facilitation.
  • Collaborate with researchers to shape model goals (e.g., accuracy, latency, explainability) and engineers to ensure scalable deployment, monitoring, and lifecycle management.
  • Ensure products comply with governance, privacy, and responsible AI guidelines.
Analytics, Impact, and Continuous Improvement
  • Define success metrics and work with analytics teams to measure model and product performance.
  • Analyze user feedback, model outputs, and usage patterns to iterate and improve ML features.
  • Champion a culture of experimentation, A/B testing, and data-driven decision-making.
  • Proactively identify risks, dependencies, and constraints affecting delivery.
Act Like an Owner:
  • Proactively identify and resolve blockers, navigate processes, and independently seek out information and connect with relevant teams to drive solutions in the face of ambiguity.
  • Operate with a strong sense of urgency, consistently prioritizing and executing tasks to meet timelines and deliver results.
Qualifications:
  • 5 plus years of experience as a Product Owner, Product Manager, or related role.
  • Background in data science, ML/AI research or engineering, or data analytics.
  • Understanding of statistical concepts, machine learning concepts (e.g. supervised/unsupervised learning, evaluation metrics, model lifecycle), and GenAI/Agentic AI concepts (e.g. RAG, embeddings and vector search, guardrails, orchestration frameworks).
  • Proficiency in SQL databases.
  • Experience working with ML/AI teams building customer-facing products.
  • Demonstrated ability to convert ambiguous problems into structured product initiatives with clear business value.
  • Experience in an agile environment.
  • Excellent communication, leadership, and stakeholder management skills.
Preferred Qualifications:
  • Experience in a merchant acquiring, payment service provider, or card network environment.
  • Familiarity with tokenization, real-time payments, and the authorization lifecycle.
  • Experience in a large, complex organization in a highly regulated industry.
Note:
  • What this position will be supporting: payment optimization product development / auth uplift
  • Remote (Y/N): either (ideally near an office or willing to relocate if convert)
  • If onsite, please provide address: target offices if convert: Cincinnati, Atlanta
  • Duration: 6 months
  • Potential to convert and/or extend: yes

Apply