1

Contractual Full Stack Data Scientist Jobs in Ohio

Description At Cryptic Vector, we are dedicated to mission success. We take the time to understand our customers' needs, delivering products that perform when our nation needs them most. We

At Cryptic Vector, we are dedicated to mission success. We take the time to understand our customers' needs, delivering products that perform when our nation needs them most. We understand that

At Cryptic Vector, we are dedicated to mission success. We take the time to understand our customers' needs, delivering products that perform when our nation needs them most. We understand that

Position Title: Full Stack Engineer Position Type: Full-time, HYBRID Location: Dayton, OH Clearance: Active Top Secret with SCI eligibility Job Summary The Full Stack Software Engineer will support

Position Title: Full Stack Engineer Position Type: Full-time, On-site Location: Dayton, OH Clearance: Active Top Secret with SCI eligibility Job Summary The Full Stack Software Engineer will support

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify

next page

Showing results 1-20

Contractual Full Stack Data Scientist information

What is a contractual full stack data scientist?

Contractual Full Stack Data Scientists are professionals hired on a contract basis to manage the end-to-end data science workflow for an organization. They are skilled in both frontend and backend development, as well as data engineering, data analysis, and machine learning. Their responsibilities often include collecting, processing, and analyzing data, developing predictive models, and deploying solutions into production environments. Unlike permanent employees, they typically work on specific projects or for a set period, offering flexibility to both the employer and the professional.

What are the key skills and qualifications needed to thrive as a contractual full stack data scientist?

To thrive as a Contractual Full Stack Data Scientist, you need strong expertise in statistics, machine learning, data analysis, and software engineering, typically supported by a relevant degree and a portfolio of completed projects. Familiarity with programming languages such as Python or R, cloud platforms like AWS or Azure, and tools such as TensorFlow, SQL, and version control systems is essential. Excellent problem-solving, communication, and time management skills help you adapt quickly to varied client needs and collaborate effectively with cross-functional teams. These skills ensure the ability to deliver end-to-end data solutions that drive business value within project deadlines.

What are some common challenges faced by contractual full stack data scientists, and how can they be addressed?

Contractual full stack data scientists often face challenges such as adapting quickly to new teams and business domains, managing time constraints, and ensuring seamless handover of work at project completion. Since these roles typically involve both backend and frontend tasks, balancing diverse technical responsibilities while aligning with client expectations can be demanding. To address these challenges, it’s helpful to establish clear communication channels, document work thoroughly, and set realistic deliverables early in the contract. Proactively engaging with stakeholders and being flexible with new tools or workflows also support successful project outcomes.

What is the difference between Contractual Full Stack Data Scientist vs Contractual Data Engineer?

AspectContractual Full Stack Data ScientistContractual Data Engineer
CredentialsDegree in Data Science, Computer Science, or related field; certifications in data analysis or machine learningDegree in Computer Engineering, Software Engineering, or related; certifications in cloud platforms or data pipeline tools
Work EnvironmentCollaborates with data analysts, machine learning engineers, and business teams on modeling and insightsFocuses on building, maintaining, and optimizing data pipelines and infrastructure
Industry UsageUsed across industries for data analysis, predictive modeling, and business insightsPrimarily in tech, finance, and e-commerce for data infrastructure and ETL processes

The Contractual Full Stack Data Scientist combines data analysis, modeling, and software skills to deliver insights and solutions, while the Contractual Data Engineer specializes in building and maintaining data infrastructure. Both roles are essential in data-driven organizations but focus on different aspects of the data lifecycle.

What are the most commonly searched types of Full Stack Data Scientist jobs in Ohio?

The most popular types of Full Stack Data Scientist jobs in Ohio are:

What job categories do people searching Contractual Full Stack Data Scientist jobs in Ohio look for?

The top searched job categories for Contractual Full Stack Data Scientist jobs in Ohio are:

What cities in Ohio are hiring for Contractual Full Stack Data Scientist jobs?

Cities in Ohio with the most Contractual Full Stack Data Scientist job openings:

Infographic showing various Contractual Full Stack Data Scientist job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Full-Stack Software Developer

Modern Technology Solutions, Inc.

Dayton, OH • On-site

Full-time

Re-posted 12 days ago


Job description

Modern Technology Solutions Incorporated (MTSI) is hiring a Full-Stack Software Developer in Dayton, OH. This position requires an active TS/SCI clearance. Responsibilities: Develop and maintain full-stack systems, ensuring reliability, scalability, and security.

Monitor and troubleshoot system performance, identifying and implementing improvements as required. Design and implement software solutions using a variety of programming languages, such as Java, Python, C/C++, SQL, or JavaScript. Manage and prioritize multiple simultaneous development projects in a fast-paced R&D environment.

Collaborate with multidisciplinary teams to deliver solutions aligned with operational requirements. Automate software processes to enhance the end-user experience and streamline workflows. Effectively communicate technical concepts to technical and non-technical stakeholders, fostering productive discussions and decision-making.

Support innovative projects and collaborate within dynamic research and development (R&D) environments. Required Qualifications: Bachelor's degree in Computer Science or a related field. Minimum of 4 years of relevant DoD/IC experience.

Proficient in full-stack system development, monitoring, and maintenance. Skilled in one or more programming languages: Java, Python, C/C++, SQL, or JavaScript. Proven ability to manage simultaneous projects and effectively prioritize tasks in a dynamic R&D environment.

Strong ability to articulate technical concepts to varied audiences. Excellent teamwork skills, with adaptability for team-based projects and independent work. Desired Qualifications: Master's degree in Computer Science or a related field.

6+ years of relevant professional experience. Experience in GEOINT processing research and development. Extensive background in developing software to handle DoD/IC data for dissemination throughout the IC.

Familiarity with DoD/IC EO/IR data and its application in software systems. Experience implementing software process automation to improve operational efficiency and user experience. Clearance Requirements: Must be a U.S

Citizen. Active TS/SCI clearance #LI-BG1 #MTSI