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Director Data Science Analytics Jobs in Springfield, OH

Experience with data science and analytics toolsets (e.g. JupyterHub / Jupyter Notebooks, Apache Spark, MATLAB) * Knowledge of data modeling principles * Experience in knowledge extraction and ...

Experience with data science and analytics toolsets (e.g. JupyterHub / Jupyter Notebooks, Apache Spark, MATLAB) * Knowledge of data modeling principles * Experience in knowledge extraction and ...

Position Summary Credence has an immediate need for a Data Science Manager at the journeyman level ... Acquire and analyze data and metrics across the enterprise to determine how they can be ...

Position Summary Credence has an immediate need for a Data Science Manager at the journeyman level ... Acquire and analyze data and metrics across the enterprise to determine how they can be ...

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Showing results 1-20

Director Data Science Analytics information

See Springfield, OH salary details

$64K

$142.4K

$220.2K

How much do director data science analytics jobs pay per year?

As of Sep 9, 2026, the average yearly pay for director data science analytics in Springfield, OH is $142,422.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $162,100.00 per year, depending on experience, location, and employer.

What does a director of data science analytics do?

A director of data science analytics oversees teams that develop and implement data-driven strategies to solve complex business problems. They manage data analysis projects, collaborate with stakeholders, and ensure the use of tools like Python, R, or SQL, often requiring leadership and strategic planning skills. Their role involves translating data insights into actionable recommendations to support organizational goals.

What cities near Springfield, OH are hiring for Director Data Science Analytics jobs?

Cities near Springfield, OH with the most Director Data Science Analytics job openings:

Data Science & Analytics Specialist

Dayton, OH โ€ข Hybrid

Full-time

Posted 23 days ago


Job description

Overview

Apogee Engineering has a exciting position for aย Data Science & Analytics Specialist that will provide data science and analytics support to help design, implement, and refine analytic workflows leveraging NASIC data within cloud and enterprise environments. Works under the guidance of senior engineers and analysts to enable IA/AI/ML-enabled mission workflows.

****Contingent Upon Contract Award****

Responsibilities
  • Assist in developing and refining analytic workflows that operate on large, complex NASIC datasets.
  • Support the preparation and transformation of data for IA/AI/ML and advanced analytics.
  • Help conduct quantitative analysis, exploratory data analysis, and basic modeling to support mission objectives.
  • Document analytic processes, data flows, and results in support of technical reports and briefings.
  • Collaborate with systems engineers, software engineers, and mission analysts to align analytics with operational use cases.
Qualifications

Minimumย Experience:

Citizenship:ย Must be a US citizenย Clearance:ย Ability to obtain and maintain a TS/SCI security clearance.

Education / Years of Experience:Additional Experience:

  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field, with at least two (2) years' related experience (may include applied research, internships, or professional work).
  • Experience using data analysis tools or languages (e.g., Python, R, SQL, or similar).
  • Ability to interpret quantitative results and communicate them clearly in written and verbal form.
  • Familiarity with basic data management and data quality concepts.

Preferred Qualifications:

  • Experience supporting IA/AI/ML model development, evaluation, or integration.
  • Familiarity with cloud-based data and analytics platforms.
  • Experience working with intelligence or operational datasets (simulated or real).

Additional InformationLocation: Wright Patterson AFB Dayton, OHOn-site/Hybrid/Remote:ย On-siteTravel: Occasional

Employment Type: FULL_TIME