1

Senior Director Data Science Jobs in Ohio (NOW HIRING)

$98 - $150/hr

Ein abgeschlossenes Masterstudium mit Data Science/Analytics-Bezug (z. B. Wirtschaftsinformatik ... Entdecke einen lebensnahen Arbeitgeber, der dir Vertrauen schenkt, Gestaltungsfreiräume ...

$104 - $150/hr

Ein abgeschlossenes Masterstudium mit Data Science/Analytics-Bezug (z. B. Wirtschaftsinformatik ... Entdecke einen lebensnahen Arbeitgeber, der dir Vertrauen schenkt, Gestaltungsfreiräume ...

$81 - $116/hr

Ein abgeschlossenes Masterstudium mit Data Science/Analytics-Bezug (z. B. Wirtschaftsinformatik ... Entdecke einen lebensnahen Arbeitgeber, der dir Vertrauen schenkt, Gestaltungsfreiräume ...

Senior Data Scientist Qnity Electronics is accepting applications for a position as a Data ... A strong candidate will have expertise in data science techniques such as data cleaning ...

New

Senior Data Scientist

Cleveland, OH · On-site

$120 - $190/hr

Overview Flexjet is seeking a Senior-Level Enterprise AI Data Scientist to design, develop, and ... Bachelor\'s or master\'s degree in computer science, Information Technology, Data Science, or a ...

POSITION SUMMARY Flexjet is seeking a Senior-Level Enterprise AI Data Scientist to design, develop ... computer science, Information Technology, Data Science, or a related field, or an equivalent ...

Showing results 21-40

Senior Director Data Science information

What does a senior director of data science do?

A Senior Director of Data Science leads and oversees the data science strategy for an organization, managing teams of data scientists, analysts, and engineers. They are responsible for aligning data initiatives with business goals, guiding advanced analytics projects, and ensuring the effective use of data to drive decision-making. This role often involves collaborating with other executives to develop data-driven solutions, establishing best practices, and setting the vision for how data science supports organizational growth.

How does a senior director of data science typically collaborate with other departments within an organization?

A Senior Director of Data Science frequently partners with leaders from product, engineering, marketing, and business strategy to align data-driven insights with organizational goals. They facilitate cross-functional collaboration by translating complex analytics into actionable business recommendations, ensuring that data science initiatives support top-level priorities. This role often leads a team of data scientists while serving as a bridge between technical teams and non-technical stakeholders, fostering a culture of data-informed decision-making throughout the company.

What are the key skills and qualifications needed to thrive as a senior director data science, and why are they important?

To thrive as a Senior Director Data Science, you need deep expertise in advanced analytics, machine learning, statistical modeling, and a strong educational background in a quantitative field, often with a master's or PhD. Familiarity with data platforms (like AWS, Azure), programming languages (such as Python, R), and leadership in deploying enterprise-level data solutions is vital, along with experience managing large teams. Exceptional strategic thinking, communication, and stakeholder management skills set top candidates apart in this role. These abilities are crucial for driving data-driven business strategies, leading high-performing teams, and ensuring impactful outcomes at the organizational level.

What is the difference between Senior Director Data Science vs Data Science Manager?

AspectSenior Director Data ScienceData Science Manager
ResponsibilitiesOversees multiple teams, sets strategic vision, aligns data science initiatives with business goalsManages day-to-day operations of data science teams, executes projects, and ensures deliverables
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsRelevant degree, experience in managing data projects, technical expertise
Work EnvironmentStrategic, cross-departmental, executive collaborationOperational, team-focused, project management

The Senior Director Data Science typically holds a higher strategic leadership role, overseeing multiple teams and aligning data initiatives with company goals. In contrast, a Data Science Manager focuses on managing teams and executing projects. Both roles require strong technical backgrounds, but the Senior Director emphasizes strategic vision and leadership across departments.

What are popular job titles related to Senior Director Data Science jobs in Ohio?

For Senior Director Data Science jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Senior Director Data Science jobs in Ohio look for?

The top searched job categories for Senior Director Data Science jobs in Ohio are:

What cities in Ohio are hiring for Senior Director Data Science jobs?

Cities in Ohio with the most Senior Director Data Science job openings:

Infographic showing various Senior Director Data Science job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Data Scientist

New Bremen, OH


Crown Equipment Corporation
Trucking • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 257 frontline employees who took The Breakroom Quiz

181st of 495 rated machine equipment manufacturers

People enjoy working here

Good employer

Recommended by parents


Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Job description

Company Description:

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world's largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.

Job Posting External

Primary Responsibilities

  • Build and maintain scalable data science pipelines and workflows using modern tools and frameworks.
  • Implement MLOps practices to ensure model reproducibility, monitoring, and lifecycle management.
  • Collaborate with data engineering teams to ensure data quality, accessibility, and pipeline reliability.
  • Deploy models into production environments and monitor performance over time.
  • Develop and maintain code libraries, documentation, and best practices for data science work.
  • Identify high-value opportunities where advanced analytics can drive business outcomes.
  • Evaluate and recommend new tools, technologies, and approaches to enhance data science capabilities.
  • Lead proof-of-concept initiatives to demonstrate the value of innovative analytical approaches.
  • Establish standards and frameworks for data science work across the organization
  • Design, develop, and deploy predictive and prescriptive models to address key business challenges in manufacturing, supply chain, quality, and operations.
  • Build machine learning models for demand forecasting, production optimization, predictive maintenance, quality prediction, and yield improvement.
  • Develop statistical models to identify root causes of process variations, defects, and operational inefficiencies.
  • Create optimization algorithms for resource allocation, production scheduling, and inventory management.
  • Apply natural language processing and computer vision techniques where applicable to manufacturing use cases.
  • Conduct A/B testing and experimental design to validate hypotheses and measure impact of interventions.
  • Partner with business stakeholders across manufacturing, operations, supply chain, quality, and maintenance to understand requirements and pain points.
  • Work closely with data engineers, analysts, and IT teams to integrate data science solutions into business processes.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field, along with at least 5 years of experience
    • Non-degree considered if 12+ years of related experience along with a high school diploma or GED

Preferred Qualifications

  • 6 years of relevant project experience in successfully launching, planning, and executing data science projects, including statistical analysis, data engineering, and data visualization.
  • Experience leading projects that apply ML and data science to business functions.
  • Fluency in multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS.
  • Knowledge of statistical and data mining techniques such as GLM/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, CNN, RNN.
  • Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models.
  • MS in quantitative discipline (Computer Science, Data Science, Statistics or related fields).
  • Knowledge of Six Sigma, Lean Manufacturing, or related process improvement methodologies.
  • Experience with predictive maintenance, quality analytics, or process optimization in manufacturing.
  • Familiarity with IIoT platforms and edge computing.
  • Experience with computer vision applications for quality inspection or process monitoring.
  • Publications or presentations at data science conferences or in peer-reviewed journals.
  • Certifications in cloud platforms (Azure, AWS) or data science specializations.

Work Authorization:

Crown will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship for work authorization now or in the future, are not eligible for hire.


No agency calls please.

Compensation and Benefits:

Crown offers an excellent wage and benefits package for full-time employees including Health/Dental/Vision/Prescription Drug Plan, Flexible Benefits Plan, 401K Retirement Savings Plan, Life and Disability Benefits, Paid Parental Leave, Paid Holidays, Paid Vacation, Tuition Reimbursement, and much more.

EOE Veterans/Disabilities


Crown Equipment logo

About Crown Equipment

Sourced by ZipRecruiter

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world's largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.

Industry

Trucking and warehousing and storage

Company size

10,000+ Employees

Headquarters location

New Bremen, OH, US

Social media


What Crown Equipment Corporation employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom