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Data Scientist Machine Learning Jobs in Tennessee

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 ...

VSL Employee Co LLC

Data Scientist

Brentwood, TN · Hybrid

Apply statistical methods, machine learning, and AI techniques to develop production-ready ... Bachelor's degree in Data Science, Computer Science, Statistics, Biostatistics, or a related ...

Vitality Senior Living

Data Scientist

Brentwood, TN · On-site

Apply statistical methods, machine learning, and AI techniques to develop production-ready ... Bachelor's degree in Data Science, Computer Science, Statistics, Biostatistics, or a related ...

PNC Bank

$65K - $186.94K/yr

... like machine learning to predict business outcomes and recommend optimal actions to management ... Data Science, Machine Learning (ML), Science Competencies Data Architecture, Data Mining ...

Lancesoft

Senior Data Scientist

Chattanooga, TN · On-site

$60 - $86/hr

Research and implement cutting-edge techniques and tools in machine learning/deep learning ... data science capabilities for optimal decision-making. Education and Experience: * Degree in ...

Monogram Health Inc

VP Data Science

Brentwood, TN · On-site

Position: Vice President, Data Science Reporting to the Chief Technology Officer, the Vice ... Delivery AI and Machine Learning * Oversee the design, development, deployment, and lifecycle ...

PNC Bank

$80K - $209.30K/yr

Preferred Skills Analytical Thinking, Competitive Advantages, Data Analysis, Data Analytics, Data Mining, Data Science, Machine Learning (ML) Competencies Data Architecture, Data Mining, Disruptive ...

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$34K

$111.4K

$178.3K

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

As of May 28, 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.

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.
More about Data Scientist Machine Learning jobs
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What cities in Tennessee are hiring for Data Scientist Machine Learning jobs? Cities in Tennessee with the most Data Scientist Machine Learning job openings:
Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Tennessee as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $111,399 per year, or $53.6 per hour.
Data Scientist / Machine Learning Engineer

Data Scientist / Machine Learning Engineer

Conexess

Spring Hill, TN • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Scientist / Machine Learning Engineer

Conexess is a full-service staffing firm offering contract, contract-to-hire, and direct placements. We have a wide range of recruiting capabilities, from help desk technicians to CIOs. We are also capable of offering project-based work.

Our client is looking for a Data Scientist / Machine Learning Engineer to join their rapidly growing team focusing on the optical transport-network domain. This role applies advanced analytics and ML to legacy and modern telecom transport networks to proactively identify outages, capacity risk, and migration issues. We are looking for someone who has worked directly with real transport data in multi-vendor environments.

  • Apply data science and ML to SONET/TDM and DWDM/OTN transport networks
  • Ingest, normalize, and analyze large-scale network inventory, topology, performance, and alarm data
  • Build models and analytics to:
    • Predict network outages
    • Identify capacity exhaustion and congestion risk
    • Support legacy network consolidation and migration planning
    • Translate internal and customer requirements into production-ready analytics
    • Work directly with software engineering and product teams to deploy solutions
    • Engage with customers as a technical expert when needed

Preferred Skills

  • Background with graph databases (e.g., Neo4j or equivalent)
  • Ability to operate across engineering, product, and customer teams
  • Self-starter with the ability to create solutions
  • Background with OSS, network inventory systems, or transport planning tools
  • Additional hands-on knowledge in these area's is a plus:
    • Legacy transport: SONET, SDH, TDM hierarchies
    • Modern transport: DWDM, OTN, optical channel modeling
    • Proven experience organizing and analyzing complex, multi-vendor network data
    • Strong Python and SQL skills
    • Experience delivering production analytics or ML solutions
    • 2+ years in telecom, transport networking, or network analytics
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About Conexess

Sourced by ZipRecruiter

One size does not fit all. That’s why we work with you to design a strategy that fits your organizations, coupled with a responsive relationship that ensures we get the job done right. We accomplish this using a very practical strategy built on 3 steps: Understand. Identify. Deliver. Our professionals place a high value on building a relationship with you and your organization, taking time to know the intricacies, nuances and desired skill set of what you’re looking for. With a vast knowledge and understanding of the staffing industry, we have built a network of highly-talented individuals and fantastic organization just waiting to be matched. And we’re not stopping. We will work to find exactly the right fit for you that not only solves your present challenge, but also sets you up for future success. We are committed to-yes, in fact, passionate about-creating a strategy that brings the right talent in the door today and for years to come.

Company size

51 - 200 Employees

Headquarters location

Nashville, TN, US

Year founded

2009

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