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Junior Scientific Programmer Jobs in Tennessee (NOW HIRING)

Senior AI Engineer - SFL Scientific

Nashville, TN · On-site

$100K - $138K/yr

SFL Scientific, a Deloitte Business, is looking to add a Senior AI Engineer to their vibrant ... Mentor, motivate, and coach junior members on technical best practices and inspire professional ...

Senior Data Scientist

Nashville, TN · On-site

$100K - $209K/yr

Mentor junior data scientists on statistical rigor, modeling best practices, experiment evaluation ... Engineering, Economics, or a related quantitative field. * Strong foundation in probability ...

Lead Generative AI Data Engineer III

Nashville, TN · On-site

$99K - $130K/yr

Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and ... Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

Engineering Intern/Co-op

Powell, TN · On-site

$14.25 - $18.50/hr

\n \n \n \n \n ENGINEERING INTERN\/CO\-OP \n \n \n \n \n \n Our Powell, TN office recruits students ... Computer Science junior level students with a minimum GPA of 3.0 will also be considered. \n \n \n ...

Our team of intellectually curious and highly motivated engineers, scientists and business ... Mentor Junior Staff : Provide guidance and technical oversight to junior engineers to foster a ...

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Junior Scientific Programmer information

See Tennessee salary details

$6

$24

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How much do junior scientific programmer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for junior scientific programmer in Tennessee is $24.47, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $30.10 per hour, depending on experience, location, and employer.

What is a junior scientific programmer?

Junior Scientific Programmers are early-career professionals who assist in developing and maintaining software used for scientific research and data analysis. They typically work under the guidance of senior programmers or scientists, helping to write code, process data, and troubleshoot computational problems. These programmers often work in academic, research, or laboratory settings and are expected to have a foundational knowledge of programming languages such as Python, R, or MATLAB. Their role is essential in supporting scientific projects by ensuring that computational tasks are performed efficiently and accurately.

What types of projects and technologies do junior scientific programmers typically work with, and how much collaboration is involved?

Junior Scientific Programmers often contribute to projects involving data analysis, scientific simulations, or the development of software tools for research teams. They typically work with programming languages such as Python, R, or MATLAB, and may also use version control systems like Git. Collaboration is a key aspect of the role, as Junior Scientific Programmers frequently partner with researchers, senior developers, and domain experts to understand project requirements and refine computational solutions. This team-oriented environment provides ample opportunities for learning and professional growth, especially through code reviews and interdisciplinary discussions.

What are the key skills and qualifications needed to thrive as a junior scientific programmer, and why are they important?

To thrive as a Junior Scientific Programmer, you need a solid background in programming (such as Python, R, or MATLAB), data analysis, and a relevant science or math degree. Familiarity with version control systems (e.g., Git), scientific libraries, and sometimes high-performance computing tools is typically expected. Strong problem-solving, attention to detail, and effective teamwork skills set candidates apart in collaborative research environments. These competencies are crucial for developing reliable scientific software and contributing effectively to research projects.

What is the difference between Junior Scientific Programmer vs Data Analyst?

AspectJunior Scientific ProgrammerData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; programming skills in Python, R, or MATLABBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentResearch labs, scientific institutions, tech companiesBusiness, finance, healthcare, or marketing sectors
Employer & Industry UsageResearch projects, scientific computing, simulation tasksData-driven decision making, reporting, and insights generation

While both roles involve working with data and programming, Junior Scientific Programmers focus on scientific computing and research-specific tasks, whereas Data Analysts primarily analyze business data to inform decisions. The roles often overlap in skills but differ in application and industry focus.

What are popular job titles related to Junior Scientific Programmer jobs in Tennessee?

For Junior Scientific Programmer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Junior Scientific Programmer jobs in Tennessee look for?

The top searched job categories for Junior Scientific Programmer jobs in Tennessee are:

What cities in Tennessee are hiring for Junior Scientific Programmer jobs?

Cities in Tennessee with the most Junior Scientific Programmer job openings:

Junior AI Solutions Engineer - AI Taskforce

Tencate Grass

Chattanooga, TN

Full-time

Re-posted 14 days ago


Job description

Junior AI Solutions Engineer – AI Taskforce

TenCate
Location: Flexible, USA / Global
Job Type: Full-Time
Experience Level: Early Career, 0–3 Years
Travel: Minimal, depending on role requirements
Reports To: Chief Information Officer, through the AI Taskforce

Company Overview

TenCate Grass is a global leader in synthetic turf systems, operating a vertically integrated value chain from polymer production through recycling. As artificial intelligence becomes increasingly important to innovation, operational efficiency, and customer service, TenCate is expanding its enterprise AI capabilities through a dedicated AI Taskforce.

The AI Taskforce develops scalable, governed, and business-aligned AI solutions supporting TenCate operations across EMEA, the United States, and APAC.

Position Summary

TenCate is seeking a Junior AI Solutions Engineer to support the design, development, and deployment of enterprise AI solutions within a governed delivery framework.

This position will collaborate with business stakeholders, product owners, senior engineers, and IT governance teams to deliver secure, compliant, and scalable AI capabilities that create measurable business value.

The role is ideal for an early-career professional seeking to build a strong foundation in enterprise AI engineering through mentorship, structured processes, and exposure to global business operations.

Key Responsibilities

Responsibilities include, but are not limited to:

  • Support the development of AI solutions across commercial, operational, and marketing functions.

  • Work within TenCate’s enterprise AI technology stack, including Claude, Azure, Microsoft Fabric, Copilot, and Power BI.

  • Assist with building AI models, workflows, integrations, and reusable components aligned with business requirements.

  • Support the testing, deployment, monitoring, and optimization of AI solutions.

  • Help monitor data quality, model performance, system reliability, and solution adoption.

  • Assist with maintaining data pipelines, system integrations, and technical components.

  • Follow established architecture, cybersecurity, data-governance, and compliance standards.

  • Participate in structured project intake, validation, documentation, and approval processes.

  • Help translate business requirements and operational challenges into practical technical solutions.

  • Collaborate with senior engineers and cross-functional teams across global regions.

  • Assist with user onboarding, training, playbooks, and knowledge materials for new AI solutions.

  • Gather user feedback and support continuous improvement after implementation.

  • Research emerging AI capabilities and contribute to internal best practices.

Qualifications and Experience
  • Bachelor’s or master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

  • Zero to three years of relevant experience, including internships, academic projects, or professional experience.

  • Foundational knowledge of Python, SQL, and data-processing concepts.

  • Basic understanding of APIs, data pipelines, and system integration.

  • Familiarity with the Microsoft ecosystem, including Azure, Power Platform, or Copilot.

  • Basic understanding of AI and large language model tools, such as Claude or Copilot.

  • Awareness of data quality, cybersecurity, privacy, and governance principles.

  • Ability to translate technical concepts into clear, business-focused communication.

  • Strong analytical, organizational, and problem-solving skills.

  • Coursework, certifications, or hands-on projects involving AI, data, software development, or automation preferred.

Technical Skills and Core Competencies
  • Foundational Python and SQL programming.

  • Data processing, validation, and quality monitoring.

  • API and system-integration fundamentals.

  • Basic AI and large language model application development.

  • Familiarity with Azure, Microsoft Fabric, Power Platform, Copilot, or Power BI.

  • Technical documentation and process development.

  • Structured problem-solving and attention to detail.

  • Strong written and verbal communication skills.

  • Cross-functional collaboration and stakeholder engagement.

  • Curiosity, sound judgment, and a pragmatic understanding of AI capabilities and limitations.

Preferred Experience
  • Exposure to enterprise environments or governed technology-delivery models.

  • Experience with Power BI, Azure Machine Learning, or Microsoft Fabric.

  • Previous involvement in AI, data, software, or automation projects.

  • Completed coursework, certifications, or professional-development programs involving AI modeling, data management, or application development.

Example AI Domains
  • Data Scraping and Modeling: AI-based agents that identify potential turf sales leads using public information.

  • Commercial Intelligence: AI-driven Salesforce insights supporting sales teams.

  • Supply Chain Optimization: Predictive models supporting planning, quality, and logistics.

  • Circular Economy and Sustainability: AI solutions supporting ONE-DNAâ„¢ recyclability and traceability.

  • Risk and Regulatory Monitoring: Automated compliance and sustainability reporting.

Growth Path

This position offers a development path toward roles such as:

  • AI Solutions Engineer.

  • AI Platform Engineer.

  • AI Architect.

Success Criteria
  • Demonstrated growth in AI engineering and enterprise IT capabilities.

  • Effective contribution within established governance frameworks.

  • Strong collaboration with business stakeholders and IT teams.

  • Delivery of AI solutions that are adopted and used by the business.

  • Consistent development of reliable documentation and reusable technical components.

Work Environment

This position offers flexible location options based on business and role requirements. The Junior AI Solutions Engineer will collaborate with stakeholders and technical teams across EMEA, the United States, and APAC.

Minimal travel may be required depending on assigned projects and business needs.

Work Authorization

Candidates must be authorized to work in the United States without current or future employer sponsorship. TenCate is unable to provide visa sponsorship for this position.

Equal Employment Opportunity

TenCate is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by applicable law.