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Director Data Science Jobs in Ohio (NOW HIRING)

84.51°

Director Data Science (P2415)

Cincinnati, OH · On-site

DIRECTOR, DATA SCIENCE - SUPPLY CHAIN, OPERATIONS, REPLENISHMENT Cincinnati, OH Chicago, IL SUMMARY : The Supply Chain, Operations, and Replenishment (SCORe) team is responsible for creating for ...

University of Toledo

Email inquiries may be directed to William Kalies, Director, School of Interdisciplinary Data Science, at william.kalies@utoledo.edu. This position is potentially renewable for up to three years ...

University of Toledo

Email inquiries may be directed to William Kalies, Director, School of Interdisciplinary Data Science, at william.kalies@utoledo.edu. This position is potentially renewable for up to three years ...

TQL

Senior Data Scientist

Cincinnati, OH · On-site

High-impact, high-visibility role Ownership of enterprise-scale data and AI solutions Opportunity to shape data science strategy and standards Direct collaboration with senior stakeholders Leadership ...

Genesis10

Senior Data Scientist

Columbus, OH

$55 - $62.50/hr

Genesis10 is currently seeking a Senior Data Scientist for a direct-hire position with a Regional ... science Experience with R, RStudio, Python, SAS, SQL, and NoSQL Direct experience with SQL ...

Genesis10

Senior Data Scientist

Columbus, OH

$55 - $62.50/hr

In lieu of a Master's degree, a Bachelor's degree with a minimum of 5 years work experience in analytics or data science * Experience with R, RStudio, Python, SAS, SQL, and NoSQL * Direct experience ...

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How much do director data science jobs pay per year?

As of May 28, 2026, the average yearly pay for director data science in Ohio is $147,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $180,200.00 per year, depending on experience, location, and employer.

What is a Director Data Science job?

A Director of Data Science leads a team of data scientists and analysts to drive data-driven decision-making within an organization. They develop strategic initiatives, oversee machine learning and analytics projects, and collaborate with executives to align data efforts with business goals. The role requires expertise in data science, leadership, and communication to translate complex insights into actionable strategies.

What are the key skills and qualifications needed to thrive in the Director Data Science position, and why are they important?

To thrive as a Director Data Science, you need a deep understanding of advanced statistical modeling, machine learning, and data strategy, typically backed by an advanced degree in a quantitative field and significant leadership experience. Proficiency with tools such as Python, R, SQL, cloud data platforms, and familiarity with data governance frameworks and certifications like Certified Analytics Professional (CAP) are common requirements. Outstanding communication, stakeholder management, and team leadership abilities make candidates stand out in this position. These skills ensure the successful translation of complex data insights into actionable business strategies and the effective leadership of high-performing data science teams.

What types of teams and professionals will I collaborate with as a Director Data Science?

As a Director Data Science, you will regularly collaborate with cross-functional teams including business analysts, data engineers, software developers, product managers, and senior executives. Your role often involves translating business goals into data-driven strategies, as well as mentoring and guiding data scientists and analysts on your team. You may also work closely with stakeholders from marketing, operations, and finance to align analytics initiatives with organizational objectives. This collaborative environment fosters innovative solutions and ensures data science efforts have a meaningful impact on overall business performance.
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Director Data Science jobs near you

Director Data Science (P2415)

84.51°

Cincinnati, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

84.51° Overview:
84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.
84.51° follows a 5-day in-office work schedule to support collaboration, alignment, and team connection.
Join us at 84.51°!
DIRECTOR, DATA SCIENCE - SUPPLY CHAIN, OPERATIONS, REPLENISHMENT
Cincinnati, OH
Chicago, IL
SUMMARY:
The Supply Chain, Operations, and Replenishment (SCORe) team is responsible for creating for cutting edge supply chain and operations sciences to meet Kroger's need now and in the future, ensuring that we deliver value for our Kroger stakeholders and the enterprise. This role will lead the supply chain data scientists and partner heavily with our Product and Engineering community to develop the best solutions for our stakeholders within our supply chain workstreams.
RESPONSIBILITIES:
  • Influence and partner with SCORe team leaders to set the vision and future road map by developing immediate and long-term strategic plans in supply chain and operations
  • Partner with the other SCORe Tech DSR Leads to develop and oversee innovation/capability roadmaps to support strategic supply chainplans
  • Bring transformational, innovative thinking to the SCORe team, creating and/or improving ways of working, products, sciences, tools and initiatives
  • Develop and manage stakeholder relationships within 84.51° and Kroger to drive better decisions across the Supply Chain space
  • Understand business priorities and project value to make prioritization decisions
  • Partner with cross-functional leaders to ensure shared goals that enable delivery of science services and insights at scale
  • Enable & manage a team of data scientists in delivering strategic objectives and work plans while developing their individual technical and business skills

QUALIFICATIONS, SKILLS, AND EXPERIENCE:
  • 7+ years developing analytical solutions using advanced AI, Machine learning, and optimization methods
  • 7+ years querying data from relational databases using SQL/Python to develop analytical solutions
  • 7+ years with data wrangling, data cleaning and prep, problem framing, and analysis
  • Experience with managing, recruiting, training, developing, coaching, and/or inspiring highly technical associates
  • Proficient in technology stack (Azure, Databricks, Python, Spark)
  • Experience applying data science capabilities to supply chain and operations business problems
  • Experience with developing, coaching, and/or inspiring highly technical associates
  • Ability to work in a highly collaborative cross functional environment
  • Comfort with fast pace and multiple moving parts, anticipating and solving for future barriers/ changes
  • Excellent interpersonal, collaboration, and communication skills
  • Strong business acumen
  • Strong academic background in mathematics, statistics, computer science, economics, or similar discipline
  • Strong analytical, creative problem-solving and decision-making skills
  • Ability to create computationally efficient solutions
  • Natural curiosity and passion around data, analysis and insights
  • Welcomes and embraces change
  • Ability to work fast yet accurately
  • An openness and willingness to try new things and to fail

An ideal candidate has a strong track record of:
  • Building stakeholder relationships at a senior level
  • Internal or External client exposure and strong understanding of client's business needs
  • Ability to present technical solutions to non-technical audience
  • Managing, recruiting, training, developing, coaching, inspiring and/or leading others
  • Championing an inclusive culture and embracing 84.51° D&I initiatives
  • Creating and/or improving large-scale processes or initiatives
  • Leading Data Scientists through product life cycle and projects
  • Independently creating solutions and solving open-ended and/or complex problems, analyzing both successes and failures
  • Collaborating across all functions of 84.51°
  • Providing direct, constructive feedback to peers and junior data scientists
  • Making data-driven decisions and priority calls
  • Clearly articulating their point-of-view
  • Comfortability with fast pace and multiple moving parts, anticipating and solving for future barriers/ changes

#LI-SSS
Pay Transparency and Benefits
  • The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
  • Below is a list of some of the benefits we offer our associates:
    • Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
    • Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
    • Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.

Pay Range
$162,000-$262,000 USD

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