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

Guidehouse

Epidemiologist Data Scientist

Beavercreek, OH · On-site

$80K - $133K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Ability to manage multiple priorities in a fast-paced consulting environment. * Experience with HIV ...

Munich RE

Data Scientist

Dayton, OH · On-site

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

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 ...

Guidehouse

Data Engineer Lead

Beavercreek, OH · On-site

Experience supporting federal health, public health, healthcare, life sciences, or other highly regulated environments. * Strong understanding of data governance, metadata management, data quality ...

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 ...

Munich RE

Actuarial Data Scientist (FCAS)

Dayton, OH · On-site

Manage projects and direct work of more junior team members. * Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling ...

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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 Sep 3, 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 is a data science manager?

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 does a data science manager do?

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 skills and qualifications are needed to be a data science manager?

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 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 with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

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

Microelectronics Security Data Scientist

Riverside Research Institute

Dayton, OH • On-site

$130K - $190K/yr

Full-time

Re-posted 4 days ago

Job description

Riverside Overview
Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.
Position Overview
The Riverside Research Engineering and Support Solutions (ESS) directorate conducts Research and Development (R&D) of cyber-physical attacks against embedded systems. As a Microelectronics Security Data Scientist, you will collaborate with a multi-disciplinary team of research engineers and scientists on a wide range of microelectronics research projects. You will work directly with a team of hardware security research subject matter experts (SME), the senior Principal Investigator, Technical Lead, and Program Manager to support various project-specific research projects developing solutions to complex, open-ended hardware security problems. The position is at the customer's location in Dayton, OH. Remote work is not available for this position. Travel is not expected to exceed two to three times a year.
Responsibilities
  • Conduct research in the application of data science, including deep learning and complex statistical data analysis, for problems within microelectronic hardware security
  • Perform all aspects of the data science lifecycle; gather requirements from non-data science technical staff, propose technical approaches, pre-process data, perform exploratory data analysis, model the data, critically evaluate performance of the model, and present findings
  • Develop whitepapers and presentations to communicate research findings
  • Contributes to proposals for new research in similar and/or related technology areas
  • Provide technical mentorship to junior researchers supporting your programs
  • Works collaboratively with customers, multi-disciplinary research partners and Riverside Research business, engineering, and technology teams on complex research and development projects

Qualifications
Required
  • A minimum of 5 years of related experience with a Bachelors degree, 3 years with a Masters degree, a PhD without experience, or equivalent work experience is typically required for an employee at this level.
  • Secret clearance required to start, but must be able obtain Top Secret security clearance and all required program access approvals
  • Expertise with machine learning suited for signal and image data, in one or more of the following: Unsupervised Learning, Bayesian classifiers, Regression, Random Forests, Deep Learning, Graph Neural Networks, Belief Propagation, Statistical Inference, Dimensionality Reduction
  • Proficient in Python and popular data science libraries (NumPy, Scikit-Learn, Matplotlib, etc.)
  • Demonstrated experience processing time-series or image datasets, including alignment, filtering, feature extraction, and model development
  • Experience presenting technical material to both technical and non-technical audiences
  • Ability to manage timelines, product delivery, and product quality for research projects
  • Willing to work in a secure US Government facilities
  • Interest in solving open-ended research challenges
  • Willing to travel 2-3 times per year

Desired
  • Active DoD Top Secret (TS) or equivalent US Government security clearance
  • Experience with TensorFlow, PyTorch, or similar Deep Learning framework
  • Experience with batch processing, GPU acceleration, or parallel workloads
  • of large data sets across multiple GPUs
  • Experience with data transformations such as Principal Component Analysis (PCA)
  • Experience using revision control software
  • Experience leading a small technical team on research projects
  • Understanding of information theory and its application to cryptographic algorithms
  • Understanding of signal processing is highly desired
  • Bachelor's Degree in a quantitative discipline (e.g., computer engineering, electrical engineering, statistics, computer science, mathematics, physics, or other STEM fields) and 8 years' experience, or Master's Degree in a related discipline and 3 years' experience, or 3 years' practical experience with a PhD in a related discipline

Global Comp
$130,000 - $195,000 This represents the typical compensation range for this position based on experience, location and other factors.
Closing Statement
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.

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