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Science Engineer Jobs in Tennessee (NOW HIRING)

Python Developer for investment bank

Nashville, TN ยท On-site

$48.50 - $67/hr

Close to a Data Science Engineer type of role. Technical Skills: Strong knowledge o f Python programming language and its frameworks, with a focus on back-end development. Knowledge of software ...

Deep knowledge of Java programming including primitive types, objects, boolean expressions ... Familiar with AP Computer Science A curriculum across ten units and common challenges such as ...

Deep knowledge of Java programming including primitive types, objects, boolean expressions ... Familiar with AP Computer Science A curriculum across ten units and common challenges such as ...

Deep knowledge of Java programming including primitive types, objects, boolean expressions ... Familiar with AP Computer Science A curriculum across ten units and common challenges such as ...

AP Computer Science A Tutor

Memphis, TN ยท Remote

$18 - $40/hr

Deep knowledge of Java programming including primitive types, objects, boolean expressions ... Familiar with AP Computer Science A curriculum across ten units and common challenges such as ...

Senior Platform Software Engineer

Nashville, TN ยท On-site

$118K - $156K/yr

Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology ...

Senior Platform Software Engineer

Nashville, TN ยท On-site

$118K - $156K/yr

Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology ...

Showing results 21-40

Science Engineer information

What is a science engineer?

Science engineers are professionals who apply scientific principles and methods to solve technical problems and develop new technologies. They often work at the intersection of research and application, using their expertise in fields such as physics, chemistry, biology, or materials science to design innovative products, improve existing processes, and conduct experiments. Science engineers collaborate with researchers, engineers, and other specialists to translate scientific discoveries into practical solutions for industries like healthcare, energy, manufacturing, and environmental management.

What are the key skills and qualifications needed to thrive as a science engineer, and why are they important?

To thrive as a Science Engineer, you need a strong background in engineering principles, scientific analysis, and problem-solving, typically supported by a relevant engineering degree. Familiarity with technical tools such as CAD software, simulation programs, and data analysis platforms, as well as certifications like Professional Engineer (PE), are often required. Strong communication, teamwork, and critical thinking skills help distinguish top performers in this field. These competencies ensure innovative solutions, effective project execution, and collaboration across interdisciplinary teams.

What are some common challenges science engineers face when working on interdisciplinary teams?

Science Engineers often collaborate with professionals from diverse backgrounds, such as chemists, physicists, and computer scientists. One common challenge is bridging communication gaps due to different terminologies and approaches used in each discipline. Successfully navigating these differences requires strong interpersonal skills and a willingness to learn from team members. Adapting to varying project management styles and aligning on shared goals are also key aspects of effective interdisciplinary teamwork.

What is the difference between Science Engineer vs Mechanical Engineer?

AspectScience EngineerMechanical Engineer
Required CredentialsBachelor's or higher in science or engineering fields, certifications varyBachelor's or higher in mechanical engineering, PE license optional
Work EnvironmentResearch labs, development centers, industrial settingsManufacturing plants, design offices, testing facilities
Employer & Industry UsageResearch institutions, tech companies, government agenciesManufacturing firms, automotive, aerospace, energy sectors
Common Search & ComparisonYesYes

Science Engineers focus on applying scientific principles to develop new technologies and conduct research, often working in labs or research centers. Mechanical Engineers design, analyze, and manufacture mechanical systems, working primarily in industrial and manufacturing environments. While both roles require engineering knowledge, Science Engineers emphasize scientific research, whereas Mechanical Engineers focus on practical system design and production.

What are popular job titles related to Science Engineer jobs in Tennessee?

For Science Engineer jobs in Tennessee, the most frequently searched job titles are:

What cities in Tennessee are hiring for Science Engineer jobs?

Cities in Tennessee with the most Science Engineer job openings:

Infographic showing various Science Engineer job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

Python Developer for investment bank

SANS

Nashville, TN โ€ข On-site

$48.50 - $67/hr

Other

Posted 6 days ago


Job description

Please note NO THIRD PARTIES as client cannot accept to sponser any candidates.
PLEASE NO THIRD PARTIES.  KINDLY NO THIRD PARTIES.  PLEASE NO THIRD PARTIES. KINDLY NO THIRD PARTIES.  

Must relocate to Nashville, TN to work in the office 3 days a week.  Just start working in office from Day 1.  Please only honest candidates.

Title: Python Developer
Location: Nashville, TN (Hybrid 3~4 days in-office 8am โ€“ 4pm CST workday.)
Duration - 12+ Months
Nashville on-site( People who will relocate to TN will work)

Job Role:
Create and refine quant algorithm scripts in Python to solve complex financial problems.
Close to a Data Science Engineer type of role.

Technical Skills:
Strong knowledge o f Python programming language and its frameworks, with a focus on back-end development.
Knowledge of software development principles and Object-Oriented development and design patterns ( C# experience a plus)
Experience with back-end technologies such as Oracle, SQL Server, .NET, REST API, microservices , etc.
Understanding of parallel programming concepts and packages โ€“ parallelization/multiprocessing/cloud .
Working experience/knowledge of Azure is a plus (CI/CD, Kubernetes, Data Factory, Containers/Pods/Docker, [ AWS is ok - Azure equivalent ]

Quantitative and Analytical Skills:
Strong mathematical and statistical skills, with the ability to apply them to develop financial algorithms.
Experience in developing and optimizing quantitative algorithms for financial applications.
Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex problems.
Ability to troubleshoot and optimize existing analytics solutions for improved performance.

Pre-screening interview video (5-10 min long)
What is your experience with Pandas/DataFrame manipulation โ€“ what techniques do you use for data gathering/cleaning/storing?
Speak about your approach to Object-oriented programming / performance optimization and data structure selection in your coding.
Usage of NumPy / Statistical Analysis and any type of Linear Algebra experience (usage of matrices, optimization [minimize], interpolation).
What is your level of involvement in the SDLC beyond just writing code โ€“ QA, unit testing, deployment, scalability in PRODUCTION?

Investment Product
- Tax Advantaged Taxable Bond SMAs (differentiate our Taxable SMAs with an industry first systematic tax optimization for taxable bonds)
- Capacity to develop additional Taxable SMA products (potentially offshore solutions, completion fund products, non-USD, etc)

Type of Quant/Algo/Analytic Software to Develop
- Automated Transition Analysis (real-time transition from existing bonds to Client portfolios via Service Center)
- Automated Proposals (cash funded proposals/model portfolios via Service Center)
- Trade Rationales (unparalleled transparency for advisors into SMA trading activity and benefits)
- Transition Scorecards (proactive touch point summarizing onboarding process and portfolio changes/benefits)