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

GRVTY

Data Science - Senior

Dayton, OH · On-site

Build and manage datasets for training and evaluation in collaboration with subject matter experts ... Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or ...

GRVTY

Data Science - Senior

Dayton, OH · On-site

Build and manage datasets for training and evaluation in collaboration with subject matter experts ... Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or ...

Aptima Inc

Senior Data Scientist

Fairborn, OH · On-site

$135K - $150K/yr

Understand the science that can inform requirements addressing trust, explainability, complexity ... Ability to manage and coordinate multidisciplinary technical teams. * Ability to obtain and ...

CareSource

Applied AI Scientist III

Dayton, OH · On-site +1

Five (5) years of experience in predictive analytics, data science, or a related field, preferably within the healthcare industry or managed care organizations required * One (1) year of experience ...

SAIC

Data Analyst - GEOINT Technical SME

Dayton, OH · On-site

... managers to refine project requests and clarify business needs and objectives. • Integrate ... Qualifications : Required : • A minimum of a Bachelor's Degree in Data Science, Statistics ...

VENESCO LLC

Data VIsualization Specialist

Dayton, OH · On-site

... Science, Operations Research, or a related technical discipline. * Strong knowledge of data visualization principles, information management, and data administration, with 2-4 years of relevant ...

VENESCO, LLC

Data VIsualization Specialist

Dayton, OH · On-site

... Science, Operations Research, or a related technical discipline. * Strong knowledge of data visualization principles, information management, and data administration, with 2-4 years of relevant ...

Venesco LLC

Data VIsualization Specialist

Dayton, OH · On-site

$110K - $125K/yr

... Science, Operations Research, or a related technical discipline. * Strong knowledge of data visualization principles, information management, and data administration, with 2-4 years of relevant ...

SAIC

Data Analyst - GEOINT Technical SME

Dayton, OH · Remote

$120K - $160K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Collaborate with project requestors, stakeholders, and project managers to refine project requests ...

SAIC

Data Analyst - GEOINT Technical SME

Dayton, OH · On-site

$120K - $160K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Collaborate with project requestors, stakeholders, and project managers to refine project requests ...

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All JobsData Science JobsData Science Manager JobsData Science Manager Jobs in Springfield, OH

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 Jul 22, 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.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

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 are popular job titles related to Data Science Manager jobs in Springfield, OH? For Data Science Manager jobs in Springfield, OH, the most frequently searched job titles are:
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 Science Manager jobs near you

Data Science - Senior

GRVTY

Dayton, OH • On-site

Other

Posted 7 days ago

Job description

***Requires an active TS/SCI Security Clearance with the ability to obtain a CI Poly****

What You'll Be Owning: 

  • Develop computer vision prototypes to detect and predict interactions between objects in multi-modal imagery.
  • Implement unsupervised and supervised learning methods to support mission-specific analytic workflows.
  • Build and manage datasets for training and evaluation in collaboration with subject matter experts (SMEs).
  • Integrate prototypes into NASIC and broader DoD/IC IT architectures. Design and maintain data structures ("memory systems") that store learned patterns, support dynamic updates, and provide auditability.
  • Follow secure software development practices, leveraging Python (preferred, v3.11+) and/or C++ in government repositories.
  • Conduct prototype reviews, code walkthroughs, and demonstrations with NASIC stakeholders.
  • Participate in bi-weekly technical interchange meetings and status updates.

What You Must Have: 

  • At least 10 years of software development experience
  • Active TS/SCI security clearance
  • Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or equivalent experience.
  • Strong proficiency in Python (PEP8, Google Style Guide, type hints, docstring conventions) and familiarity with C++.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) for computer vision applications.
  • Background in object detection, scene understanding, and spatial reasoning.
  • Hands-on experience with unsupervised learning methods and dataset development.
  • Ability to work in secure environments and follow strict code review and documentation standards.

What Would Be Nice to Have

  • Knowledge of geospatial intelligence (GEOINT) workflows and imagery modalities.
  • Familiarity with Air Force / DoD software security constraints and classified development practices. 
  • Experience designing dynamic and auditable data structures for knowledge persistence.
  • Ability to collaborate closely with government technical managers (GTMs) and SMEs in a fast-paced prototyping environment.

This posting is for a position that is part of a proposal or future opportunity. While this role is not currently funded, we anticipate openings in the near future. Our recruiting team will contact qualified candidates as positions become available.

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