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Python Jobs in Dayton, OH (NOW HIRING)

The University of Dayton

Senior Computer Engineer

Dayton, OH · On-site

$101K - $139K/yr

Lead the development of high-performance software and embedded systems using C++, Python, MATLAB, FPGAs, and GPUs to advance next-generation U.S. government research missions. Apply to our Senior ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

This is hands-on engineering work - you will be designing and building Python-based software tools that support optical signature modeling, spectral data analysis, and machine learning-enabled sensor ...

University of Dayton

Senior Computer Engineer

Dayton, OH · On-site

$101K - $139K/yr

Lead the development of high-performance software and embedded systems using C++, Python, MATLAB, FPGAs, and GPUs to advance next-generation U.S. government research missions. Apply to our Senior ...

KBR

Operations Research Analyst

Beavercreek, OH · On-site

$91K - $108K/yr

Experience with at least one analytical or statistical language/tool (e.g., Python, R, MATLAB, SAS, VBA, Java, SimPy, Simio, Gurobi, and JMP) * Basic experience (coursework, internship, or ...

LDSS Corp

Data Engineer

Dayton, OH · On-site

$120K - $135K/yr

Utilize Python and Regular Expressions for advanced text parsing, pattern matching, and data cleansing to prepare structured datasets for downstream [CM1] ingestion * Use APIs for seamless data ...

GRVTY

Software Engineer

Dayton, OH

Collaborate with analysts and data scientists to automate complex workflows using Python and modern frameworks. Integrate AI/ML algorithms and statistical models into production environments. Support ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Design, develop, and maintain Python-based software tools supporting optical signature modeling, spectral sensor data processing, and analytical workflows. * Work with sensor physicists, data ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site

$119K - $157K/yr

Design, develop, and maintain Python-based software tools supporting optical signature modeling, spectral sensor data processing, and analytical workflows. * Work with sensor physicists, data ...

KBR, Inc.

Operations Research Analyst

Beavercreek, OH · On-site

$91K - $108K/yr

Experience with at least one analytical or statistical language/tool (e.g., Python, R, MATLAB, SAS, VBA, Java, SimPy, Simio, Gurobi, and JMP) * Basic experience (coursework, internship, or project ...

Georgia IT, Inc.

Data Scientist-Mason, OH

Mason, OH · On-site

Responsibilities : • NLP unsupervised with DL Computer Vision OCR Word embedding and other NLP techniques Python (Mandatory) Specialization preferred. Will be given higher priority if candidate ...

Mechanical Services & Design

Data Analyst

Dayton, OH · On-site

$58.24 - $74.88/hr

Leveraging tools such as Power BI, Microsoft Excel, Power Automate, SQL, Python, R, and other data analysis technologies, you will identify trends, uncover opportunities for process improvement, and ...

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How much do python jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for python in Dayton, OH is $56.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.97 and $64.71 per hour, depending on experience, location, and employer.

What is Python?

Python is a programming language used to write or develop a variety of programs and applications. The software developer community uses Python for programming because it is a simple language that is easy to test and debug. Large internet companies such as Facebook, Google, Reddit, and Amazon use Python, and so do government agencies such as NASA. Programmer professionals have used Python to help build popular software such as Autodesk Maya and other visual design applications. Financial professionals and stock traders use Python when scripting algorithms for economic predictions or computerized trading.

What is a Python developer?

A Python developer is a software programmer who specializes in writing, testing, and maintaining code using the Python programming language. They can work on a variety of projects, including web development, data analysis, machine learning, automation, and scripting. Python developers often collaborate with other team members to design solutions and ensure the functionality and performance of applications. Their responsibilities may also include debugging programs, integrating third-party services, and writing documentation.

What are the key skills and qualifications needed to thrive as a Python developer?

To thrive as a Python Developer, you need strong programming skills in Python, knowledge of software development principles, and typically a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are highly valued, along with certifications like PCEP or PCAP. Effective problem-solving, communication, and teamwork are essential soft skills to excel in collaborative and dynamic environments. These skills collectively ensure the delivery of robust, maintainable code and efficient project outcomes in technology-driven organizations.

What are some common challenges Python developers face when working on large-scale projects?

Python developers often encounter challenges such as managing dependencies, ensuring code scalability, and maintaining performance on large-scale projects. Collaboration with cross-functional teams can add complexity, especially when integrating with systems written in other languages. Adopting best practices like modular code structure, thorough documentation, and automated testing can help mitigate these challenges and streamline teamwork.

What is the difference between Python developer vs Java developer?

AspectPython DeveloperJava Developer
Required CredentialsBachelor's in CS or related field, Python certifications (optional)Bachelor's in CS or related field, Java certifications (optional)
Work EnvironmentWeb development, data science, automationEnterprise applications, Android development, backend systems
Industry UsageTech startups, data analysis firms, automation companiesFinancial services, large enterprise software, mobile app companies

Python developers focus on scripting, data analysis, and web development, often working in startups or data-driven fields. Java developers typically work on large-scale enterprise applications and Android apps. While both roles require programming skills and similar educational backgrounds, their industry applications and project types differ significantly.

Can I get a job with just Python?

A Python developer role typically requires proficiency in Python programming, along with knowledge of related tools like frameworks, libraries, and version control. While Python skills are essential, employers often prefer candidates with experience in problem-solving, data structures, and sometimes additional skills such as databases or web development. Certifications or practical projects can also enhance job prospects, but having only Python may limit opportunities for more advanced or specialized positions.

Does Python have good job opportunities?

Python developers have strong job prospects across various industries such as technology, finance, and data science. Proficiency in frameworks like Django or Flask and knowledge of data analysis tools can enhance employability, with many roles requiring experience in version control and problem-solving skills.

What jobs can I do with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, web developer, automation engineer, and cybersecurity specialist. These jobs often require knowledge of frameworks, libraries, and tools like Django, Flask, Pandas, and TensorFlow, and may involve working in teams or on specific platforms. Python skills are valuable across industries such as technology, finance, healthcare, and research.

Which Python job is in demand?

Python developer roles are highly in demand across industries such as technology, finance, and data science. Skills in frameworks like Django or Flask, along with knowledge of data analysis tools like Pandas and NumPy, enhance job prospects. Certifications and experience with cloud platforms can also improve employability.
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For Python jobs in Dayton, OH, the most frequently searched job titles are:

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Infographic showing various Python job openings in Dayton, OH as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 10% Part Time, and 6% Contract. Highlights an 74% Physical, 7% Hybrid, and 19% Remote job distribution, with an average salary of $118,514 per year, or $57 per hour.

Analytics Modernization Lead

Guidehouse

Beavercreek, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants

Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

Guidehouse is seeking an Analytics Modernization Lead to lead the modernization of analytic, surveillance, research, and reporting workflows through the adoption of modern statistical computing, automation, and open-source technologies. This individual will serve as the technical lead responsible for analytics modernization strategy, SAS-to-R/Python migration, code validation, reproducibility standards, and modernization governance across complex public health data environments.

The Analytics Modernization Lead will work closely with biostatisticians, epidemiologists, data scientists, and informaticists to ensure legacy analytic assets are modernized while preserving scientific integrity, analytical equivalence, and operational continuity. This role serves as the bridge between statistical methodology and technical implementation, enabling scalable, maintainable, and reproducible analytics platforms.

What You Will Do

  • Serve as the technical lead for analytics modernization initiatives supporting surveillance, research, program evaluation, and data science activities.

  • Develop modernization strategies, migration roadmaps, coding standards, technical governance frameworks, and implementation plans for analytic transformation efforts.

  • Assess legacy analytics environments, SAS programs, macros, workflows, dependencies, and reporting pipelines to identify modernization opportunities.

  • Lead migration of SAS-based workflows to R, Python, and modern analytics platforms while preserving analytic intent, business rules, statistical methodologies, and output consistency.

  • Design and oversee validation frameworks to confirm equivalence between legacy and modernized analytic workflows.

  • Establish and maintain code review standards, regression testing approaches, automated validation processes, and reproducibility controls.

  • Collaborate with biostatisticians and epidemiologists to validate migrated outputs and ensure scientific defensibility of modernized solutions.

  • Develop reusable libraries, frameworks, templates, and accelerator assets that increase consistency and reduce future development effort.

  • Lead adoption of modern software engineering practices, including version control, code management, documentation standards, CI/CD, and automated testing.

  • Support implementation of cloud-based analytics environments and scalable data science platforms.

  • Establish enterprise standards for reusable analytics, code promotion, environment management, and technical documentation.

  • Mentor technical teams in R, Python, Git, testing methodologies, reproducible analytics, and modern development practices.

  • Develop technical designs, migration inventories, validation reports, implementation guidance, training materials, and knowledge transfer products.

  • Support proposal efforts, solution development, and thought leadership activities related to analytics modernization, statistical computing, and open-source transformation.

  • Role contingent upon contract award


What You Will Need:

  • Must be a U.S. Citizen or Permanent Resident. and ability to obtain and maintain a Public Trust clearance.

  • Bachelor's degree in Computer Science, Data Science, Statistics, Biostatistics, Informatics, Applied Mathematics, Engineering, or related technical field. Master's degree preferred.

  • EIGHT (8) or more years of professional experience supporting analytics modernization, statistical programming, data science, software development, data engineering, or analytical platform implementation.

  • Experience leading modernization or migration initiatives involving SAS-based analytics, statistical programming, reporting assets, or analytical workflows to open source platforms, specifically R.

  • Expertise in SAS programming, including SAS macros, PROC SQL, data step programming, statistical procedures, reporting workflows, and production analytical environments.

  • Experience in both R and Python, including development of reusable packages, libraries, analytical pipelines, and automated workflows.

  • Experience converting statistical programs, analytical workflows, and reporting assets from SAS to modern open-source environments.

  • Experience designing and implementing validation frameworks, regression testing approaches, automated testing methodologies, and analytical quality control processes.

  • Experience validating migrated outputs and documenting analytical equivalency between legacy and modernized environments.

  • Strong understanding of statistical programming principles and experience collaborating effectively with biostatisticians, epidemiologists, and data scientists on analytical validation efforts.

  • Experience using Git, GitHub, Azure DevOps, CI/CD pipelines, version control, code review practices, and software development lifecycle methodologies.

  • Experience developing and maintaining technical documentation, code inventories, conversion playbooks, migration plans, design specifications, and validation reports.


What Would Be Nice To Have:

  • Master's degree in Data Science, Computer Science, Statistics, Biostatistics, Informatics, or related discipline.

  • Experience supporting analytic workflows in secure, regulated, healthcare, public health, life sciences, or government environments.

  • Strong problem-solving, stakeholder engagement, and technical communication skills.

  • Experience leading technical workstreams and mentoring multidisciplinary development or analytics teams.

  • Experience supporting large-scale public health surveillance, healthcare analytics, biomedical research, or population health programs.

  • Experience modernizing large analytics environments consisting of hundreds or thousands of SAS programs, macros, reports, and supporting assets.

  • Experience developing automated code conversion, testing, validation, code quality, or reproducibility frameworks.

  • Experience with Databricks, Snowflake, Azure, AWS, Palantir Foundry, or other modern analytics platforms.

  • Experience implementing CI/CD, DataOps, MLOps, infrastructure-as-code, or automated deployment frameworks.

  • Experience containerizing analytical workflows using Docker, Kubernetes, or similar technologies.

  • Experience developing R packages, Python libraries, reusable analytics frameworks, or enterprise coding standards.

  • Experience supporting modernization of surveillance systems, public health analytics platforms, or scientific computing environments.

  • Experience training technical teams on open-source analytics, software engineering best practices, and modernization methodologies.

  • Experience working with state public health agencies.

  • Experience supporting federal public health, healthcare, or research organizations.

The annual salary range for this position is $92,000.00-$153,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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