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

C2 Alaska, LLC

Chief Data Officer

Dayton, OH · On-site

... data science methodologies to transform large volumes of experimental, computational, and ... Support the AFRL/RA team in the collection, storage, management, and retrieval of experimental and ...

C2 Alaska, LLC

Chief Data Officer

Dayton, OH

... data science methodologies to transform large volumes of experimental, computational, and ... Support the AFRL/RA team in the collection, storage, management, and retrieval of experimental and ...

Chenega Corporation

Chief Data Officer

Dayton, OH

... data science methodologies to transform large volumes of experimental, computational, and ... Support the AFRL/RA team in the collection, storage, management, and retrieval of experimental and ...

C2 Alaska, LLC

Chief Data Officer

Dayton, OH · On-site

... data science methodologies to transform large volumes of experimental, computational, and ... Support the AFRL/RA team in the collection, storage, management, and retrieval of experimental and ...

Bestica Inc.

Data Visualization Specialist

Dayton, OH · On-site

... Science, Operations Research, or another similar degree. * Demonstrate strong knowledge of data visualization principles, data administration, and information management, with 2-4 years of experience ...

Booz Allen Hamilton

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/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 ...

Booz Allen Hamilton, Inc.

Data Analyst

Dayton, OH · On-site

$61K - $141K/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 ...

Booz Allen Hamilton

Data Analyst

Dayton, OH · On-site

$61K - $141K/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 ...

Booz Allen Hamilton, Inc.

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/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 ...

SIERTEK

Data Visualization Specialist*

Dayton, OH

... management. * Experience collaborating with multidisciplinary teams consisting of epidemiologists, data scientists, clinicians, public health professionals, and information technology specialists.

SierTeK Ltd.

Data Visualization Specialist*

Dayton, OH · On-site

... management. * Experience collaborating with multidisciplinary teams consisting of epidemiologists, data scientists, clinicians, public health professionals, and information technology specialists.

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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 23, 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
Chief Data Officer

Chief Data Officer

C2 Alaska, LLC

Dayton, OH • On-site

Full-time

Posted 16 days ago

Job description

Overview
C2 ALASKA, LLC
Dayton, OH
THIS POSITION IS CONTINGENT UPON BID AWARD
The Chief Data Officer shall provide advanced technical support to the AFRL/RA organization, focusing on the development and implementation of data-driven solutions to enhance research and engineering outcomes. This role supports the Chief Data Officer and AI leadership in designing and implementing digital engineering infrastructure, leveraging artificial intelligence (AI), machine learning (ML), and data science methodologies to transform large volumes of experimental, computational, and historical research data into actionable insights. The position plays a critical role in modernizing how hypersonic test and technical report data is accessed, structured, analyzed, and utilized-enabling improved research efficiency and innovation across AFRL initiatives.
Responsibilities
  • Support the AFRL/RA team in the collection, storage, management, and retrieval of experimental and computational research data.
  • Develop and implement data-driven solutions to enhance research and engineering outcomes
  • Support the Chief Data Officer and AI leadership
  • Design and implement digital engineering infrastructure, leveraging artificial intelligence (AI), machine learning (ML), and data science methodologies to transform large volumes of experimental, computational, and historical research data into actionable insights
  • Assist in implementing and advancing digital engineering infrastructure aligned with government reference architectures.
  • Apply machine learning and AI-powered data mining techniques to:
    • Identify statistical trends within existing datasets
    • Detect gaps in available data (data paucity)
    • Improve the effectiveness of future experimental and computational efforts
  • Collaborate with AFRL/RA AI leadership to design and develop AI agents capable of:
    • Automating extraction of structured data from unstructured historical data packages
    • Utilizing metadata and technical reports to prioritize relevant information for end users
  • Develop and maintain scalable data structures and workflows that enable seamless:
    • Data integration
    • Analysis
    • Storage and retrieval across multiple platforms
  • Integrate heterogeneous datasets from multiple sources into unified analytical frameworks and modeling environments.
  • Support the creation of digital collaboration tools to:
    • Eliminate data silos
    • Enhance accessibility of structured research data
    • Provide streamlined user interfaces for data interaction
  • Enable transformation of fragmented information into structured, accessible, and analysis-ready datasets.
  • Contribute to model development and data-driven decision support tools for research stakeholders.
  • Other duties as assigned

Qualifications
  • Master of Arts (MA)/Master of Science (MS) in Science; Engineering, Mathematics, or Statistics
  • Minimum ten (10) years in data science / OR A-type work
  • Minimum five (5) experience in designing AI/ML solutions, building data architectures, and creating automation (AI agents)
  • Minimum five (5) years working with large-scale or complex datasets
  • Minimum five (5) years supporting DoD research programs
  • Possess and maintain an Active Secret Clearance

Knowledge, Skills and Abilities
  • Knowledge of machine learning, artificial intelligence, and data science techniques
  • Ability to design and implement data architectures and workflows aligned with enterprise/government standards
  • Proficiency in handling structured and unstructured data, including data extraction and transformation
  • Skilled in integrating heterogeneous data sources into unified systems
  • Ability to develop and support AI-driven automation tools (e.g., data extraction agents)
  • Possess analytical and problem-solving skills applied to complex research datasets
  • Possess effective collaboration skills across technical, engineering, and research stakeholders
  • Possess excellent written and verbal communication skills for technical audiences
  • Ability to translate complex data into meaningful insights for decision-makers
  • Demonstrated technical communication skills, including preparation of briefings, technical reports, research papers, and publications.
  • Experience with high-speed flight vehicle technologies, hypersonics, or advanced aerospace systems Preferred
  • Experience with digital engineering concepts and frameworks Preferred
  • Experience working with large, complex, and diverse datasets Preferred
  • Experience in AI/ML model development, training, or deployment Preferred
  • Familiarity with generative AI tools and data-driven infrastructure development Preferred

Physical Demands (The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.)
  • The employee will need to be able to perform facility inspections.
  • While performing the duties of this Job, the employee is regularly required to sit and talk or hear. The employee may use repeated motions that include the arms, wrists, hands and/or fingers. The employee is occasionally required to walk, stand, climb, balance, stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision.

Any estimated salary provided by this job board may not align with Chenega's compensation program. Please apply to connect with a recruiter who can provide more details

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