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Data Science Associate Jobs in Tennessee (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Nashville, TN

$77K - $202K/yr

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

Deloitte

AI Solutions Architect

Nashville, TN · On-site

$60.75 - $80.25/hr

... Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into account the wide range of factors that are considered in making compensation ...

Photon Research Associates, Inc

$41.75 - $54/hr

Minimum 8 to 10 years of experience in Java, REST API, Spring boot Hands-on experience in Angular JS or React JS or View JS Bachelor's degree or higher in computer science, data science, or a related ...

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$52.2K

$61.8K

$117.1K

How much do data science associate jobs pay per year?

As of Jun 8, 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 data science dead in 10 years?

Data Science Associate roles are expected to remain relevant in the next decade as organizations continue to rely on data-driven decision making. Advances in automation and AI may change some tasks, but skills in statistical analysis, programming, and machine learning will still be valuable for interpreting complex data. Continuous learning and adapting to new tools like Python, R, and cloud platforms will be important for future success in the field.

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 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 job categories do people searching Data Science Associate jobs in Tennessee look for? The top searched job categories for Data Science Associate jobs in Tennessee are:
What cities in Tennessee are hiring for Data Science Associate jobs? Cities in Tennessee with the most Data Science Associate job openings:
Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Tennessee as of May 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, 1% Temporary, and 1% 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.
Data Engineer - Archimedes

Data Engineer - Archimedes

Navitus Health Solutions, LLC

Brentwood, TN • On-site

$108K - $130K/yr

Full-time

Posted 11 days ago

Job description

Archimedes
Archimedes - Transforming the Specialty Drug Benefit - Archimedes is the industry leader in specialty drug management solutions. Founded with the goal of transforming the PBM industry to provide the necessary ingredients for the sustainability of the prescription drug benefit alignment, value and transparency Archimedes achieves superior results for clients by eliminating tightly held PBM conflicts of interest including drug spread, rebate retention and pharmacy ownership and delivering the most rigorous clinical management at the lowest net cost. .____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________. Current associates must use SSO login option at https://employees-navitus.icims.com/ to be considered for internal opportunities.________We are committed to providing equal employment opportunity to all applicants and employees and comply with all applicable nondiscrimination regulations, including those related to protected veterans and individuals with disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or handicap.
USD $0.00 - USD $0.00 /Yr.
10.00 - Manager, Clinical Mgr, Pharm Supvr, CAE, Sr CAE I
Core Business Hours

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support enterprise analytics, reporting, and operational data flows. This role plays a critical part in enabling data-driven decision-making across Centene and SPM by ensuring the availability, integrity, and performance of data systems. The Data Engineer collaborates with data scientists, analysts, software developers, and business stakeholders to deliver robust ETL solutions, optimize data storage and retrieval, and implement secure, compliant data architectures in cloud and hybrid environments.


Operating within a healthcare-focused, compliance-heavy landscape, the Data Engineer ensures that data platforms align with regulatory standards such as HIPAA and SOC 2, while embedding automation and CI/CD practices into daily workflows. The role supports both AWS and Azure environments, leveraging cloud-native services and modern tooling to streamline data ingestion, transformation, and delivery.


Job Responsibilities:

  • Design, develop, and maintain ETL pipelines for structured and unstructured data across cloud and on-prem environments.
  • Build and optimize data models, schemas, and storage solutions in SQL Server, PostgreSQL, and cloud-native databases.
  • Implement CI/CD workflows for data pipeline deployment and monitoring using tools such as GitHub Actions, Azure DevOps, or Jenkins.
  • Develop and maintain data integrations using AWS Glue, Azure Data Factory, Lambda, EventBridge, and other cloud-native services.
  • Ensure data quality, lineage, and governance through automated validation, logging, and monitoring frameworks.
  • Collaborate with cross-functional teams to gather requirements, design scalable solutions, and support analytics and reporting needs.
  • Monitor and troubleshoot data pipeline performance, latency, and failures; implement proactive alerting and remediation strategies.
  • Support data security and compliance by enforcing access controls, encryption standards, and audit logging aligned with HIPAA and SOC 2.
  • Maintain documentation for data flows, architecture diagrams, and operational procedures.
  • Participate in sprint planning, code reviews, and agile ceremonies to support iterative development and continuous improvement.
  • Evaluate and integrate new data tools, frameworks, and cloud services to enhance platform capabilities.
  • Partner with DevOps and Security teams to ensure infrastructure-as-code and secure deployment practices are followed.
  • Participate in, adhere to, and support compliance, people and culture, and learning programs.
  • Perform other duties as assigned.

Essential Background Requirements:

  • Education: Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field required. Master’s degree preferred.
  • Certification/Licenses: AWS Certified Data Analytics or Solutions Architect required. Microsoft Certified: Azure Data Engineer Associate required. Certified Data Management Professional (CDMP) required.
  • Experience:
    • 5+ years of experience in data engineering, ETL development, or cloud data architecture required.
    • Proven experience with SQL, ETL tools, and CI/CD pipelines required.
    • Hands-on experience with AWS and Azure data services and infrastructure required.
    • Familiarity with data governance, compliance frameworks (HIPAA, SOC 2), and secure data handling practices required.
    • Familiarity with CI/CD pipelines, automated testing, and version control systems required.
    • Skills & Technologies:
      • Languages & Tools: SQL, Python, Bash, Git, Terraform, PowerShell
      • ETL & Orchestration: AWS Glue, Azure Data Factory, Apache Airflow
      • CI/CD: GitHub Actions, Azure DevOps, Jenkins
      • Cloud Platforms: AWS (S3, Lambda, RDS, Redshift), Azure (Blob Storage, Synapse, Functions)
      • Monitoring & Logging: CloudWatch, Azure Monitor, ELK Stack
      • Data Governance: Data cataloging, lineage tracking, encryption, and access control.



5250 Virginia Way Ste 300
Brentwood
TN
37027

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