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Data Science Manager Jobs in Springfield, OH (NOW HIRING)

You are a highly motivated Sr. Data Scientist with advanced technical expertise in designing ... This position supports the PMO and can be performed remotely with occasional travel. WHAT YOU WILL ...

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Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, Information Systems, Risk Management, or a related field. * 5+ years of experience in AI/ML, data science, model governance, or ...

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IT Project Manager

Marysville, OH

$90K - $107K/yr

Ability to translate between technical teams (data science/engineering) and control functions (risk, legal, compliance). Strong analytical, problem-solving, and stakeholder management skills.

IT Project Manager

Marysville, OH

$90K - $107K/yr

Ability to translate between technical teams (data science/engineering) and control functions (risk, legal, compliance). Strong analytical, problem-solving, and stakeholder management skills.

AI Data Engineer - Senior Consultant

Dayton, OH ยท Hybrid

$101K - $139K/yr

Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science ... prompt/version management). * 4+ years of cloud experience on AWS/Azure/GCP (one or more ...

GCP Manager

Dayton, OH ยท On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

AI Developer

Dayton, OH

$94K - $164K/yr

Knowledge of healthcare and managed care Preferred Licensure and Certification: * AI / Data Science certifications or credentials are preferred Working Conditions: * General office environment; may ...

AI Developer

Dayton, OH ยท On-site +1

$94K - $164K/yr

Knowledge of healthcare and managed care Preferred Licensure and Certification: * AI / Data Science certifications or credentials are preferred Working Conditions: * General office environment; may ...

Strong background in machine learning, artificial intelligence, or data science * Experience ... Familiarity with GitLab and/or Jira - issue tracking and agile project management, or similar tools

Strong background in machine learning, artificial intelligence, or data science * Experience ... Familiarity with GitLab and/or Jira - issue tracking and agile project management, or similar tools

... Success Manager to lead a team of four Customer Success Consultants responsible for trial ... Data Science to ensure customer insights translate into improved onboarding, stronger adoption ...

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Data Science Manager information

See Springfield, OH salary details

$27.9K

$87.5K

$154.9K

How much do data science manager jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data science manager in Springfield, OH is $87,503.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $113,000.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

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

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What job categories do people searching Data Science Manager jobs in Springfield, OH look for? The top searched job categories for Data Science Manager jobs in Springfield, OH are:
What cities near Springfield, OH are hiring for Data Science Manager jobs? Cities near Springfield, OH with the most Data Science Manager job openings:

Data Analyst Mid - GEOINT Technical SME

Tulk LLC

Dayton, OH โ€ข On-site

$121K - $155K/yr

Full-time

Posted 24 days ago


Job description

Data Analyst - GEOINT Technical SME - Mid

TULK is a leading boutique consulting firm providing technology and management consulting services to the U.S. Federal Government. Our expert team supports Defense, Intelligence Community, and National Security customers by helping them acquire, manage, analyze, and improve mission-focused technology, data, and business capabilities.

We are seeking a Data Analyst - GEOINT Technical SME - Mid to support geospatial intelligence, business analytics, data visualization, and mission data management activities. This role is ideal for a cleared data professional with experience applying data analytics, GEOINT tools, scripting, and visualization techniques to support decision-making, improve business processes, and deliver actionable insights to mission stakeholders.

About the Work

The Data Analyst - GEOINT Technical SME - Mid will support data analysis, model development, dashboarding, metrics reporting, and data-driven business process improvement. The role involves working with stakeholders, project managers, and subject matter experts to clarify business needs, analyze data from multiple sources, develop visual products, support analytic tools, and help improve organizational performance.

This position requires the ability to transform quantitative and qualitative data into clear, useful, and mission-relevant insights. The candidate should be comfortable working in classified environments, supporting Intelligence Community stakeholders, and using data tools to improve understanding of mission, operational, business, and technical issues.

Your Duties

  • Develop data analytics, dashboards, reports, charts, graphs, and other visualizations using industry-standard data analysis and data science practices.
  • Transform complex data sets from multiple sources into understandable visual products that support leadership, mission, and business decision-making.
  • Collaborate with project requestors, stakeholders, subject matter experts, and project managers to refine requirements and clarify business objectives.
  • Use data analytics to identify issues, draw logical conclusions, form business insights, and recommend ways to improve organizational performance and efficiency.
  • Support the development, integration, maintenance, and sustainment of analytic models, visualizations, and tools.
  • Support risk scoring, anomaly detection, performance monitoring, metrics tracking, and related data analysis implementations as required.
  • Capture, maintain, and analyze statistics, timelines, system performance data, and other operational metrics.
  • Prepare reports, briefings, dashboards, and visual summaries for internal teams, technical stakeholders, and leadership audiences.
  • Support policy, process, and business operations activities by contributing data analysis, technical editing, documentation, and reporting support.
  • Use scripting and automation techniques to manipulate, analyze, clean, transform, or visualize data as needed.
  • Support geospatial data analysis and related GEOINT mission activities using applicable tools, data sets, and technical methods.
  • Work independently and collaboratively in a dynamic environment with changing priorities and short suspense timelines.

Required Skills and Experience

  • Top Secret / SCI security clearance
  • U.S. Citizenship
  • Bachelorโ€™s degree in Data Science, Statistics, Business, Geography, Geospatial Information Systems, Computer Science, Information Systems, or a related field, or equivalent relevant experience.
  • 6 or more years of relevant experience developing data analytics, visualizations, analytic models, dashboards, or data-driven business products.
  • Demonstrated experience using data to form business insights, draw logical conclusions, and support performance-improving strategies.
  • Demonstrated experience collaborating with stakeholders to clarify project needs, business objectives, data requirements, and analytical questions.
  • Experience creating and editing visual content such as charts, graphs, dashboards, and briefing materials to represent data clearly.
  • At least 12 months of demonstrated experience using one or more geospatial or GEOINT-related tools such as ArcGIS, ArcView, RemoteView, ArcIMS, ERDAS Imagine, or similar geospatial analysis tools.
  • Demonstrated coding or scripting experience using tools such as Python, Java, or similar languages to support data manipulation, analysis, automation, or visualization.
  • Demonstrated ability to use SharePoint, Tableau, Redmine, databases, or other systems to manipulate data, manage information, and build data visualizations.
  • Strong organizational and communication skills, with the ability to work effectively in a team-oriented mission environment.
  • Proficiency with Microsoft Office tools, including Excel and PowerPoint.

Desired Skills and Experience

  • Experience supporting GEOINT, Intelligence Community, Department of Defense, or national security missions.
  • Experience supporting insider threat, risk scoring, anomaly detection, or similar security-focused analytics programs.
  • Experience with policy development, process improvement, business operations, or performance management initiatives.
  • Experience with GEOINT analysis software, NGA mission applications, geospatial data sets, or mission reporting tools.
  • Experience using Tableau, Python, SQL, GIS tools, SharePoint, or other business intelligence and data visualization platforms.
  • Experience preparing executive-level briefings, technical reports, dashboards, and visual summaries for senior stakeholders.
  • Experience with data quality analysis, data cleansing, data transformation, and data integration across multiple sources.

Work Environment

  • Work is performed in support of Federal, Defense, Intelligence Community, and national security missions.
  • Work may be performed in classified environments and requires compliance with applicable security, information handling, and customer site requirements.
  • Normal work hours are generally Monday through Friday during standard business hours, unless otherwise required by mission needs.