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Contractual Full Stack Data Scientist Jobs in Jackson, MS

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Rack and stack network equipment and patch panels. * Install faceplates, data jacks, patch panels ... Full PPE including hard hat, safety vest, steel toe boots, gloves, and safety glasses. * Basic hand ...

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Contractual Full Stack Data Scientist information

See Jackson, MS salary details

$40.1K

$143.8K

$212.2K

How much do contractual full stack data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for contractual full stack data scientist in Jackson, MS is $143,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,300.00 and $148,100.00 per year, depending on experience, location, and employer.

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 popular job titles related to Contractual Full Stack Data Scientist jobs in Jackson, MS?

For Contractual Full Stack Data Scientist jobs in Jackson, MS, the most frequently searched job titles are:

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

The top searched job categories for Contractual Full Stack Data Scientist jobs in Jackson, MS are:

Infographic showing various Contractual Full Stack Data Scientist job openings in Jackson, MS as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $143,801 per year, or $69.1 per hour.

SME Full Stack Developer

Noblesoft Technologies

Jackson, MS • On-site

Contractor

Re-posted 21 days ago


Job description

Role: SME Full Stack Developer

Location: Jackson, MS 39201 – Onsite 

Duration: 1 year with possible extension  

Required Skills:

To be considered, all proposed consultants must meet the following mandatory requirements:

  • A four-year degree from an accredited school in Computer Science, Information Technology, or like field.
  • Seven (7) years or more of direct and specific experience creating applications in multiple programming languages
  • Five (5) years or more of direct database design and administration.
  • Five (5) years or more of experience with application and database security, privacy, and compliance decisions.
  • Advanced knowledge of VB.NET, .NET Framework, .NET CORE programming
  • Advanced knowledge of Structured Query Language (SQL), and SQL database
  • Proficient with IIS configuration
  • Proficient with Windows Server versions 2016 through 2025
  • Advanced knowledge of C#
  • Documentation and knowledge transfer experience.
  • Excellent English-speaking skills, written communication skills, and knowledge transfer skills

Preferred Skills:  

  • IBM DB2
  • Red Hat Linux
  • Drupal Content Management System