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Data Scientist Machine Learning Jobs in Tennessee

Nissan Motor Co., Ltd.

Data Scientist

Smyrna, TN · On-site

The Data Scientist combines strong technical expertise in statistical modeling and machine learning with solid business acumen to translate complex operational challenges into scalable analytical ...

Fortive

Senior Data Scientist

Nashville, TN · On-site

As a Senior Data Scientist, you'll drive execution and play a vital role in building a culture of ... Design and develop machine learning models and algorithms to analyze large, complex datasets and ...

PNC Bank

A Data Scientist will bring forth a strong focus on building intelligent agents, automation, and ... Develops algorithms using advanced mathematical and statistical techniques like machine learning to ...

FedEx Dataworks

Data Scientist Principal

Memphis, TN · On-site

Combines knowledge of data scientific methods, CI/CD, statistics, and machine learning / data engineering practices to provide recommendations on the most organizationally critical and complex ...

LP Building Solutions

Data Scientist

Nashville, TN · On-site

Data Scientist Req Id: 12517 Job Location: Home Office LP, Nashville Posting Start Date: 6/4/26 ... Leveraging advanced analytical techniques, statistical modeling, and/or machine learning, you will ...

Deloitte

Data Scientist

Hermitage, TN · On-site

As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on ... Develop and train machine learning models to solve problems such as prediction, classification, and ...

Deloitte

Data Scientist

Nashville, TN · On-site

As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on ... Develop and train machine learning models to solve problems such as prediction, classification, and ...

Deloitte

Data Scientist

Memphis, TN · On-site

As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on ... Develop and train machine learning models to solve problems such as prediction, classification, and ...

Nissan Motor Co., Ltd.

Data Scientist

Franklin, TN · On-site

The Data Scientist drives the organization's advanced analytics, machine learning, and AI initiatives, transforming data into actionable insights that support business decision-making and innovation.

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All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Tennessee

Data Scientist Machine Learning information

See Tennessee salary details

$34K

$111.4K

$178.3K

How much do data scientist machine learning jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data scientist machine learning in Tennessee is $111,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $123,400.00 per year, depending on experience, location, and employer.

What is a Data Scientist Machine Learning job?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the Data Scientist Machine Learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

Is ML a high paying job?

Data Scientist Machine Learning roles are generally well-paid due to the specialized skills required, such as programming in Python or R and knowledge of algorithms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for expertise in machine learning and data analysis.

Is 40 too late for data science?

Data scientists can enter the field at any age, including 40 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require advanced analytical skills, domain expertise, and the ability to interpret complex models. Jobs that involve creative thinking, emotional intelligence, and tasks requiring human judgment—such as healthcare professionals, educators, and skilled trades—are also expected to remain resilient despite AI advancements.

What are the typical day-to-day responsibilities of a Data Scientist Machine Learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

Do data scientists do machine learning?

Yes, data scientists often use machine learning techniques to analyze data, build predictive models, and extract insights. Proficiency in programming languages like Python or R and understanding of algorithms are essential skills for applying machine learning in their work.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Tennessee? The most popular types of Data Scientist Machine Learning jobs in Tennessee are:
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Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Tennessee as of June 2026, with employment types broken down into 77% Full Time, 22% Part Time, and 1% Temporary. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $111,399 per year, or $53.6 per hour.

Data Scientist (Applied Machine Learning)

FOCUSPOINT

Brentwood, TN • On-site

$35 - $53/hr

Contractor

Medical, Dental, Vision, Life

Posted 28 days ago

Job description

Job Title: Data Scientist (Applied Machine Learning)
Location: Varies by client
Employment Type: Contract, Contract To Hire and Full Time
Pay: Commensurate with experience

Job Overview:
FOCUSPOINT is seeking experienced Data Scientists for our client base.

Our clients, leading innovators, are seeking a highly skilled Data Scientists with a focuses on Applied Machine Learning to join their dynamic teams. These is a high-impact roles where you'll translate complex data into actionable insights, build scalable ML models, and directly influence product development and strategic decision-making.

As a staffing partner, we’re looking for candidates who thrive in fast-paced environments, bring deep technical expertise, and are passionate about solving real-world problems with machine learning.

We’re actively sourcing candidates who combine strong analytical rigor with practical problem-solving and communication skills. If you enjoy turning patterns into strategy and are ready to leverage your data expertise to drive real-world outcomes, we want to hear from you.

Core Responsibilities:

  • Design, develop, and deploy machine learning models for production use
  • Collaborate with cross-functional teams (engineering, product, analytics) to identify opportunities for ML-driven solutions
  • Conduct exploratory data analysis and feature engineering on structured and unstructured datasets
  • Optimize model performance and scalability using best practices in ML engineering
  • Communicate findings and model outcomes to technical and non-technical stakeholders
  • Stay current with advancements in ML algorithms, frameworks, and tools

Required Skills and Experience:

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field (PhD preferred for research-heavy roles)
  • 3+ years of experience in applied machine learning or data science roles
  • Proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
  • Strong understanding of supervised and unsupervised learning, deep learning, and model evaluation techniques
  • Experience with cloud platforms (AWS, Azure, GCP) and data pipeline tools
  • Excellent communication and problem-solving skills

Preferred Skills

  • Experience with NLP, computer vision, or time-series modeling
  • Familiarity with MLOps tools and CI/CD workflows
  • Background in deploying models in real-time systems or edge environments
  • Contributions to open-source ML projects or publications in peer-reviewed journals

Benefits:

  • Dental insurance
  • Health insurance
  • Vision insurance
  • Health savings account
  • Life insurance
  • Disability insurance

Why Work With Us

As a trusted staffing partner, we offer:

  • Direct access to top-tier companies and cutting-edge projects
  • Personalized career guidance and interview coaching
  • Competitive compensation packages and benefits
  • Opportunities for long-term placement and career growth

About FOCUSPOINT:
FOCUSPOINT specializes in connecting top-tier professionals with exceptional opportunities in accounting, technology, healthcare, and leadership. We prioritize building meaningful connections, ensuring candidates find roles that align with their skills, goals, and passions.