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Head Data Science Jobs in Ohio (NOW HIRING)

$102.76 - $148.43/hr

Our head office is in Alzenau near Frankfurt, with a branch office in Obernburg. There are also ... Claude via MCP) with scientific methods such as cheminformatics, retrosynthesis and quantum ...

$160 - $239/hr

Hochschulabschluss in Life Sciences oder Betriebswirtschaft; MBA oder weiterfรผhrender ... Daten und Marktdynamiken zu umsetzbaren Strategien zusammenzufassen. * Ausgeprรคgtes ...

A minimum of a High School Diploma or equivalent required; a Bachelor's Degree in Milling Science ... Ability to effectively present information or data in one-on-one and small group situations to co ...

A minimum of a High School Diploma or equivalent required; a Bachelor's Degree in Milling Science ... Ability to effectively present information or data in one-on-one and small group situations to co ...

$138 - $207/hr

Drive data-led decision-making by optimizing dashboards and reporting to surface actionable ... Work alongside international teams combining finance, tech, and climate science professionals to ...

Showing results 41-60

Head Data Science information

See Ohio salary details

$20.6K

$100.7K

$186.5K

How much do head data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for head data science in Ohio is $100,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,847.00 and $136,204.00 per year, depending on experience, location, and employer.

What does a head data science do?

A Head of Data Science is responsible for leading and managing the data science team within an organization. They oversee the development and implementation of data-driven strategies, ensuring that the team delivers valuable insights and predictive models to support business goals. This role involves collaborating with other departments, setting the vision for data initiatives, and ensuring best practices in data analysis and machine learning are followed. Additionally, the Head of Data Science often mentors team members and helps shape the organization's overall data strategy.

What are some common challenges faced by a head data science when building and leading a data science team?

As a Head of Data Science, one of the main challenges is balancing strategic leadership with hands-on technical guidance. You'll often need to align the team's goals with broader business objectives while ensuring that team members have the right mix of skills and resources. Additionally, fostering effective collaboration between data scientists, engineers, and business stakeholders can be complex, especially in cross-functional environments. Managing expectations around project timelines and communicating technical insights in a clear, actionable way are also key aspects of the role.

What are the key skills and qualifications needed to thrive as a head data science?

To thrive as a Head of Data Science, you need advanced expertise in statistics, machine learning, data modeling, and a strong background in computer science or a related quantitative field, often supported by a master's or Ph.D. Proficiency with programming languages like Python or R, big data platforms such as Hadoop or Spark, and familiarity with cloud-based analytics tools are typically required. Strategic leadership, excellent communication skills, and the ability to mentor and inspire teams are crucial soft skills for this role. These abilities are essential to drive data-driven decision-making, foster innovation, and align analytics initiatives with organizational goals.

What is the difference between Head Data Science vs Data Science Manager?

AspectHead Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsTeam management, project delivery, coordinating data science projects
Required SkillsAdvanced analytics, leadership, strategic planningTeam management, technical expertise, project management
ExperienceSenior data science background, leadership rolesData science experience with managerial responsibilities
Work EnvironmentExecutive level, cross-departmental collaborationTeam-focused, project-oriented

The Head Data Science typically holds a strategic, leadership role overseeing the entire data science function, while the Data Science Manager focuses on managing teams and project execution. Both roles require strong technical backgrounds, but the Head Data Science emphasizes vision and strategy, whereas the Data Science Manager concentrates on operational management.

What are the most commonly searched types of Data Science jobs in Ohio?

The most popular types of Data Science jobs in Ohio are:

Infographic showing various Head Data Science job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $100,666 per year, or $48.4 per hour.

$150 - $210/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Overview

We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence. As a trusted voice for many of the worldโ€™s most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations.

About the Role

Lead Customer Outcomes. Build a World-Class Customer Success Function. Drive Growth.

We are seeking an exceptional Head of Customer Success to lead the global Customer Success function for DNVโ€™s Pipeline software portfolio. Reporting to the Chief Revenue Officer, this leader will be responsible for building and scaling a highโ€‘performing global organization that drives customer adoption, retention, expansion, and advocacy.

The successful candidate will combine strong leadership, analytical rigor, commercial acumen, and customer focus to ensure customers realize measurable business value from our solutions. Working closely with Sales, Product Management, Engineering, Marketing, and Support, they will leverage customer insights, health metrics, and market intelligence to improve customer outcomes, influence strategic decisions, and drive sustainable business growth.

This is a highly visible leadership role with the opportunity to shape the future of Customer Success within the Pipeline Business Line, develop a global team, and play a key role in the continued growth and transformation of DNVโ€™s software business.

This role follows a hybrid work model.

What Youโ€™ll Do Lead and Scale Customer Success
  • Lead, develop, and inspire a global Customer Success team through coaching, succession planning and talent development
  • Establish common processes, metrics, best practices, and expansion strategies across regions
  • Build a high-performance culture focused on accountability, customer outcomes, and continuous improvement that attracts and retains top talent
  • Foster strong collaboration across Sales, Product Management, Engineering, Support, and Marketing
  • Establish and report on key Customer Success KPIs, including adoption, retention, customer health, expansion, and Net Revenue Retention (NRR)
Drive Customer Outcomes and Growth
  • Own the customer lifecycle from onboarding through renewal, retention, and expansion
  • Ensure customers achieve their desired outcomes and realize measurable value from our software solutions
  • Develop executive-level customer relationships and lead strategic account reviews
  • Partner with Sales and Growth teams to identify upsell, cross-sell, and renewal opportunities
  • Improve customer retention, adoption, customer health, and Net Revenue Retention (NRR)
Leverage Data and Customer Insight
  • Develop and manage customer health scoring, dashboards, and success metrics
  • Analyze adoption, usage, engagement, and business outcome data to identify risks and opportunities
  • Act as the voice of the customer by translating customer needs and market insights into product improvements
  • Influence company strategy through customer trends, market intelligence and business performance
  • Leverage AI, automation, and scalable processes to improve customer experience and operational efficiency
What We Offer
  • Generous paid time off (vacation, sick days, company holidays, personal days)
  • Multiple Medical and Dental benefit plans to choose from, Vision benefits
  • Spending accounts FSA, Dependent Care, Commuter Benefits, company-seeded HSA
  • Employer-paid, therapist-led, virtual care services through Talkspace
  • 401(k) with company match
  • Company provided life insurance, short-term, and long-term disability benefits
  • Education reimbursement program
  • Flexible work schedule with hybrid opportunities
  • Charitable Matched Giving and Volunteer Rewards through our Impact Program
  • Volunteer time off (VTO) paid by the company
  • Career advancement opportunities

DNV is a proud equalโ€‘opportunity employer committed to building an inclusive and diverse workforce. All employment is decided on the basis of qualifications, merit, or business need, without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

DNV is committed to ensuring equal employment opportunity, including providing reasonable accommodations to individuals with disabilities. US applicants with a physical or mental disability who require reasonable accommodation for any part of the application or hiring process may contact the North America Recruitment Department (hrrecruitment.northamerica@dnv.com). Information received relating to accommodation will be addressed confidentially.

For more information https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal.

About You What is Required
  • Bachelorโ€™s degree in engineering, Business, Computer Science, Data Analytics, or a related field
  • 10+ years of experience in Customer Success, Services, Account Management, Customer Operations, or related leadership roles, including experience leading global or geographically distributed teams through multiple levels of leadership
  • Strong analytical capabilities with experience using data to drive customer and business outcomes
  • Experience building customer success processes, health models, metrics, and dashboards
  • Strong communication, stakeholder management, and leadership skills
  • Commercial understanding of customer retention, expansion, and recurring revenue models
  • Strong written and verbal English communication skills
  • We conduct preโ€‘employment drug and background screening
What is Preferred
  • Experience in SaaS, software, or technologyโ€‘enabled businesses
  • Experience serving industrial, energy, infrastructure, or pipeline customers
  • Experience with CRM, customer success, and business intelligence platforms
  • Experience leading organizational change and process improvement initiatives

***Immigrationโ€‘related employment benefits, including visa sponsorship, are not available for this position.

Success Profile
  • Customer obsessed and focused on delivering measurable business value
  • Highly analytical and comfortable using data to drive decisions
  • A strong people leader who can build and develop highโ€‘performing global teams
  • Commercially minded with a focus on retention, expansion, and growth
  • Strategic yet handsโ€‘on, able to turn plans into measurable resultsCollaborative and influential across functions and geographies
Why Join Us?

This is an opportunity to shape the future of Customer Success for DNVโ€™s Pipeline Business Line. You will lead a global team, influence product strategy, improve customer outcomes, and directly contribute to business growth. Weโ€™re looking for a leader who can build a modern, analyticsโ€‘driven customer success organization that goes beyond relationship management to deliver measurable value for customers and DNV.

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