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Data Science Associate Jobs in Tennessee (NOW HIRING)

... data science. Supports and helps drive an innovative culture * Suggests new and useful ideas or ... For Digital Insights Lab Associates: Performs key tasks in monitoring, troubleshooting and ...

... data science. Supports and helps drive an innovative culture * Suggests new and useful ideas or ... For Digital Insights Lab Associates: Performs key tasks in monitoring, troubleshooting and ...

... data science. Supports and helps drive an innovative culture * Suggests new and useful ideas or ... For Digital Insights Lab Associates: Performs key tasks in monitoring, troubleshooting and ...

Digital Innovation Engineer

Memphis, TN · On-site

$132K/yr

... data science. Supports and helps drive an innovative culture * Suggests new and useful ideas or ... For Digital Insights Lab Associates: Performs key tasks in monitoring, troubleshooting and ...

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

Azure AI Engineer Associate, Azure Solutions Architect Expert; AWS Certified Machine Learning ... Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

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Data Science Associate information

See Tennessee salary details

$52.2K

$61.8K

$117.1K

How much do data science associate jobs pay per year?

As of Jul 22, 2026, the average yearly pay for data science associate in Tennessee is $61,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $54,000.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Tennessee? The most popular types of Data Science jobs in Tennessee are:
What are popular job titles related to Data Science Associate jobs in Tennessee? For Data Science Associate jobs in Tennessee, the most frequently searched job titles are:
What cities in Tennessee are hiring for Data Science Associate jobs? Cities in Tennessee with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 25% Part Time, 2% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $61,753 per year, or $29.7 per hour.

$132K/yr

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Job description

Description
Digital Innovation Engineer
Buckman - Memphis, TN
 
Location: Memphis, TN
Language: English
Travel: None
 
Buckman is a privately held, global specialty chemical company with headquarters in Memphis, TN, USA, committed to safeguarding the environment, maintaining safety in the workplace, and promoting sustainable development. Buckman delivers exceptional service and innovative solutions to our customers globally in the pulp and paper, leather, and water treatment sectors to help boost productivity, reduce risk, improve product quality, and provide a measurable return on investment.  
 
Position Summary 
Contributes to the success of Buckman's digital strategy by collaborating with the digital team, stakeholders and external partners on initiatives and successfully completing work on regional/global projects.
 
Key Outcomes/Responsibilities
Successfully completes work to support the completion of complex global digital projects that positively impact the customer experience and increase the adoption of digital solutions.   
  • Serves as a technical leader (software and/or hardware) on at least one digital project ensuring technical problems and challenges are resolved. 
  • Completes aligned work throughout the entire life cycle of product development, including idea generation, rapid prototyping to develop MVP candidates, product development, and commercial deployment. 
  • Completes analyses and creates key documentation (e.g. project and resource plan) to support and advance the project during the phase gate process.
  • Works with external partners and reviews SOW technical documentation to ensure clarity and completeness. 
  • Delivers outcomes in one of these focus areas: sensor development, automation and controls, back end development , front end development, IoT development, data engineering, data analytics, mobile development, or data science.   
 
Supports and helps drive an innovative culture 
  • Suggests new and useful ideas or solutions.
  • Takes the initiative to learn innovative methods, tools, and technology and show others how they can be applied to work tasks.    
 
Aligns work with strategies   
  • Understands, buys-in and ensures alignment with Buckman 4.0 and the digital strategy.   
 
 
Collaborates effectively with the global digital team and with other departments, stakeholders and leaders
 
  • Works effectively with R&D partners, digital associates, Strategic Marketing and sales to deliver effective digital solutions. 
  • Ensures alignment and buy-in of digital direction with stakeholders and internal partners.
  • Understands the global digital ecosystem and learns to work productively across this ecosystem.  
 
For Digital Insights Lab Associates:  Performs key tasks in monitoring, troubleshooting and resolving sales associate problems/issues.
 
  • Resolves sales associate's questions or problems with the Ackumen platform (e.g., technical process questions, problem resolution with an account, how to complete a certain task). 
  • Monitors and triages Ackumen alarms for customer chemical usage and takes appropriate action as needed (resolution of problem, notification of sales associate to respond to issue). 
  • Responds and escalates service requests from sales associates to the appropriate tier of support. 
 
Basic Qualifications
  • B.S. or equivalent experience in Computer Science, Chemical Engineering, Electrical Engineering, Computer Engineering or related engineering / technical field plus 3 years experience
  • Demonstrates an understanding of the core concepts in one or more focus areas (sensor development, automation and controls, back end, front end, native application dev, data science, etc.) with some limited experience applying them to real world situations.  Plus, demonstrates in-depth knowledge in at least one focus area. 
  • M.S. (or equivalent experience) in in Chemical Engineering, Computer Science, Electrical Engineering, Computer Engineering or related engineering / technical field plus one year experience. 
  • Demonstrates an understanding of the core concepts in one or more focus areas (sensor development, automation and controls, back end, front end, native application dev, data science, etc.) with some limited experience applying them to real world situations.  Plus, demonstrates in-depth knowledge in at least one focus area. 
Knowledge:    
  • Demonstrates an understanding of the core concepts in one or more focus areas (sensor development, automation and controls, back end, front end, native application dev, data science, etc.) with some limited experience applying them to real world situations.   
  • For Software roles: Demonstrates strong knowledge of the full software development processes and lifecycle and in-depth knowledge in at least one focus area: 
    • Mobile development - native mobile development or cross-platform development with a framework such as React Native 
    • Front End Development - SPA frameworks such as Angular or React, UI/UX design 
    • IoT Development - embedded programming, wireless networking, security, Azure IoT Hub or AWS IoT environment integration, integrated testing 
    • Back End Development - Microservices, Serverless, Lambda Architectures 
    • Data Engineering - Relational and NoSQL data, Data visualization tools such as Power BI, streaming data, etc. 
    • Data Analytics - techniques and tools including Azure Machine Learning, SQL, Hadoop/Hive,  
  • For IoT roles: demonstrates in-depth knowledge in at least one focus area: 
    • Sensor design, including mechanical design, PCB design and development and prototyping 
    • Controllers, gateways, local wireless protocols and hardware 
    • Systems design and development 
    • Control logic development 
    • Data analytics tools, techniques and problem frame up 
    • Embedded programming 
    • Installation and commissioning 
    • IoT stack elements including Azure or AWS environments  
Skills:
    • The scientific method in design, execution, and analysis of bench scale and field experiments  
    • Advanced MS Office skills, ability to conduct data analysis and draw data-driven conclusions  
    • Excellent verbal and written communication skills. Skilled in working in cross-functional global teams including Marketing, Sales, R&D and working with global stakeholders at all levels of the organization. 
    • Strong Mathematical skills - ability to use probability and statistical inference and apply fractions, percentages, ratios and proportions to practical situations. 
    • Advanced Reasoning - ability to define problems, collect data, establish facts and draw conclusions 
    • Ability to read, analyze and interpret common scientific and technical journals, financial reports and legal documents 
    • Strong Presentation Skills - Able to effectively present information to top management, and public groups. 
 
Behaviors:
  • Collaborates  - Building partnerships and working collaboratively with others to meet shared objectives. 
  • Focus on Results - Consistently achieving results, even under tough circumstances. 
  • Manages Complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems. 
  • Nimble Learning - Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder. 
  • Possibility Thinking - Creating new and better ways for the organization to be successful. 
  • Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm. 
  • Plans and Aligns - Planning and prioritizing work to meet commitments aligned with organizational goals. 
  • Ensures Accountability - Holding self and others accountable to meet commitments. 
We appreciate the interest of recruitment partners, but we are not engaging external agencies for this role.
 
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#LI-Onsite
 
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