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Full Time Computer Data Scientist Jobs in Tennessee

Data Scientist

Franklin, TN · Remote

$125K - $150K/yr

We are looking for a full-time Data Scientist to join the Data Analytics team. Leveraging advanced ... Bachelor's degree in computer science, mathematics, data science, statistics, or a related ...

Location(s): Smyrna, TN Job Schedule: Full-time, Hybrid (4 days on-site) Education Requirement ... The Data Scientist owns end-to-end execution-from problem framing and solution design to model ...

The Data Scientist drives the organization's advanced analytics, machine learning, and AI ... Bachelor's degree in Information Technology/Computer Science, Mathematics/Statistics, Analytics ...

... a full-time data scientist to join the data analytics team. Leveraging advanced analytical ... Bachelor's degree in computer science, mathematics, data science, statistics, or a related ...

$70K - $105K/yr

Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 900130 URMC Finance Decision ... Responsibilities: Designs, implements, and disseminates advanced analytics and data science ...

Hold a bachelor's degree (or its equivalent) in computer-science/information-theory/language-technologies or a related fields * Lead end-to-end data science projects, from problem definition and data ...

At AutoZone, our Data Science team drives data-driven decision-making with a team of passionate and ... All AutoZoners (Full-Time and Part-Time): * Competitive pay * Unrivaled company culture * Medical ...

At AutoZone, our Data Science team drives data-driven decision-making with a team of passionate and ... All AutoZoners (Full-Time and Part-Time): * Competitive pay * Unrivaled company culture * Medical ...

Contract Role | Senior Data Scientist in Chattanooga TN 2 years contract pay Range: $60 -86/hour on ... Degree in mathematics, statistics, computer science, economics, engineering, operations research ...

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Full Time Computer Data Scientist information

What is the difference between Full Time Computer Data Scientist vs Full Time Data Analyst?

AspectFull Time Computer Data ScientistFull Time Data Analyst
Required CredentialsBachelor's/Master's in CS, Data Science, or related fields; often some programming certificationsBachelor's in Statistics, Mathematics, or related fields; may have certifications in Excel, SQL
Work EnvironmentCollaborates with data engineers, software developers; involved in model developmentWorks with business teams; focuses on data reporting and visualization
Industry UsageTech, finance, healthcare, and research sectorsRetail, marketing, finance, and operations

Full Time Computer Data Scientists typically develop predictive models and work on complex algorithms, requiring programming skills and advanced analytics. Data Analysts focus on interpreting data, creating reports, and supporting decision-making. Both roles are essential but differ in technical depth and responsibilities.

What are the most commonly searched types of Computer Data Scientist jobs in Tennessee? The most popular types of Computer Data Scientist jobs in Tennessee are:
What cities in Tennessee are hiring for Full Time Computer Data Scientist jobs? Cities in Tennessee with the most Full Time Computer Data Scientist job openings:

Data Scientist

Staffing Agency Recruitment

Franklin, TN • Remote

$125K - $150K/yr

Full-time

Posted 5 days ago


Job description

This is a remote position.

Location: Remote (Nashville, TN strongly preferred)
Job-Type: Full-Time
Role Overview:
We are looking for a full-time Data Scientist to join the Data Analytics team. Leveraging advanced analytical techniques, statistical modeling, and/or machine learning, you will partner with the business to uncover opportunities, optimize performance, and drive data-informed outcomes.

This role will partner closely with marketing, sales, operations, supply chain, corporate, and finance teams to identify opportunities, develop predictive and prescriptive models, and deliver actionable insights that improve revenue growth, operational efficiency, and margin performance. The ideal candidate combines strong technical expertise in statistical modeling and advanced analytics with the ability to translate complex data into clear, business-relevant insights for marketing and sales teams.

This individual will work with large, complex datasets spanning manufacturing, distribution, pricing, and customer behavior. While this role does not require hands-on data engineering responsibilities, it demands close collaboration with the Data Engineering team. Candidates should have a solid understanding of core data engineering concepts to effectively partner, translate business needs, and ensure alignment across data workflows and infrastructure.



Requirements

Requirements:

  • 5+ years of progressive experience in data science, advanced analytics, or a closely related field, with a strong preference supporting marketing or commercial teams
  • Experience in the development of machine learning models and AI frameworks
  • Experience working with data visualization and business intelligence tools (e.g., Tableau, Power BI, or similar tools)
  • Experience working with enterprise data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery)
  • Experience working with data from large enterprise applications (e.g., ERP, CRM or operational systems)
  • Fluency in Python and SQL (required); R (optional)
  • Demonstrated experience developing and validating statistical models, machine learning algorithms, and advanced analytical solutions using large, complex datasets
  • Strong competency in statistical & quantitative methods (e.g., hypothesis testing, regression, probability theory, experimental design, etc.)
  • Demonstrated experience with experimentation and causal analysis
  • Demonstrated experience with experimental design, model evaluation, and performance measurement
  • Strong understanding of data pipelines, ETL processes, and data architecture
  • Proven success in supervised and unsupervised learning (e.g., regression, classification, clustering)
  • Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models
  • Excellent presentation, communication, and stakeholder management skills, with the ability to explain technical concepts in business terms to a diverse audience
  • Highly self-motivated with proven ability to operate autonomously, managing multiple priorities in a fast-paced environment
  • Willingness and ability to learn new technologies on the job with a continuous learning and innovation mindset
  • Bachelor’s degree in computer science, mathematics, data science, statistics, or a related quantitative field (Master’s degree preferred)
  • Occasional travel up to 15% of time
  • Occasional exposure to a plant environment

Preferred Qualifications:

  • Experience working with SAP (S/4 HANA, ECC, BTP, etc.)
  • Experience working with cloud platforms (AWS, Azure, or GCP)
  • Experience in text analytics, image recognition, graph analysis, or other specialized ML techniques (e.g., deep learning)
  • Experience in manufacturing, building products, or construction-related industries