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Vp Data Science Jobs in Tennessee (NOW HIRING)

This position will report to the VP, Data Science with future direct reporting to the Director, Data Science. Responsibilities * Independently develop and deploy machine learning models to support ...

Bachelor's degree in Information Technology, Healthcare Administration, Computer Science, Nursing ... Strong understanding of interoperability, data exchange, interface strategy, and connected health ...

Bachelor's degree in Information Technology, Healthcare Administration, Computer Science, Nursing ... Strong understanding of interoperability, data exchange, interface strategy, and connected health ...

About the VP of Marketing Upperline is seeking an analytically rigorous and strategically minded ... This is a high-impact role requiring deep expertise in data-driven marketing, operational execution ...

Vice President, Wholesale Location: Columbia, Tennessee (South of Nashville) Reports To: CEO ... Use performance data to proactively adjust strategy and execution. Product Assortment & Pricing ...

Vice President, Wholesale Location: Columbia, Tennessee (South of Nashville) Reports To: CEO ... Use performance data to proactively adjust strategy and execution. Product Assortment & Pricing ...

The position provides strategic direction for HRIS operations and technology initiatives while promoting data-driven decision-making across the organization. The VP partners closely with senior ...

The VP of Operations owns the agency's business operations and logistics infrastructure end-to-end ... Drive a culture of continuous improvement through post-event retrospectives, data analysis, and ...

The VP of Operations owns the agency's business operations and logistics infrastructure end-to-end ... Drive a culture of continuous improvement through post-event retrospectives, data analysis, and ...

Reporting to the Vice President, Data and Insights, this role will analyze large datasets across ... Bachelor's degree in business, Computer Science, Data Science, Mathematics, Economics, or a related ...

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Vp Data Science information

See Tennessee salary details

$37.7K

$129.3K

$182.4K

How much do vp data science jobs pay per year?

As of Aug 5, 2026, the average yearly pay for vp data science in Tennessee is $129,299.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $151,100.00 per year, depending on experience, location, and employer.

What does a VP of Data Science do?

A VP of Data Science leads and manages the data science team within an organization, setting the strategic vision for how data is used to drive business decisions. They oversee the development and implementation of data-driven solutions, ensure data quality and integrity, and collaborate with other executives to align data initiatives with company goals. Additionally, they mentor data scientists, manage budgets, and stay updated on the latest trends and tools in data science to keep their teams competitive.

What are the key skills and qualifications needed to thrive as a VP of Data Science?

To thrive as a VP of Data Science, you need advanced expertise in statistical analysis, machine learning, and big data, usually supported by a graduate degree in a quantitative field and extensive industry experience. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization systems, as well as experience managing enterprise data architectures, is crucial. Exceptional leadership, strategic thinking, and communication skills set top candidates apart in this role. These abilities are essential for guiding teams, influencing business decisions, and driving impactful data-driven strategies across the organization.

How does a VP of Data Science typically collaborate with cross-functional teams to drive business outcomes?

A VP of Data Science frequently works with product managers, engineering teams, and business stakeholders to align data initiatives with organizational goals. They play a strategic role in translating business challenges into data-driven solutions, ensuring that data science projects support decision-making and growth. Effective collaboration involves regular meetings, clear communication of technical concepts to non-technical audiences, and fostering a culture of data literacy across the organization. By bridging technical expertise and business acumen, the VP helps maximize the impact of data science initiatives.

What is the difference between Vp Data Science vs Data Science Manager?

AspectVp Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsManaging data science projects, team supervision, project delivery
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsDegree in related field, experience in managing data projects
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningTeam management, project-focused, collaborative with data teams

The Vp Data Science typically holds a strategic, leadership role overseeing multiple teams and setting long-term data initiatives, while a Data Science Manager focuses on managing data projects and teams directly involved in execution. Both roles require strong technical backgrounds, but the Vp is more involved in high-level planning and organizational strategy.

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 Vp Data Science jobs in Tennessee? For Vp Data Science jobs in Tennessee, the most frequently searched job titles are:
Infographic showing various Vp Data Science job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $129,299 per year, or $62.2 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Job description

Position: Senior Data Scientist 

The Senior Data Scientist will be responsible for owning the development and deployment of machine learning models to support operational and clinical use cases at Monogram. This work will be carried out with minimal supervision, contributing to the advancement of Monogram’s data science initiatives. These models will be developed using open-source tools and libraries and may be operationalized as batch or real-time model inference endpoints. The models will utilize a variety of data sources, including healthcare claims, operational data from care management platforms, and EHRs. This position will report to the VP, Data Science with future direct reporting to the Director, Data Science.

Responsibilities
  • Independently develop and deploy machine learning models to support Monogram’s operational and clinical objectives.
  • Conduct data analyses related to model outputs or explore alternative use cases for existing models to enhance reporting and decision-making processes.
  • Engage with program owners to understand program goals, key performance indicators, and operational details to ensure that machine learning models are effectively aligned with program intentions.
  • Create and present machine learning solution proposals to program owners, aiming to secure buy-in and facilitate the implementation of data-driven solutions.
  • Adhere to and promote best practices in software development, data engineering, and machine learning to ensure high-quality and maintainable code.
  • Stay updated with the latest advancements in machine learning and data science, applying new techniques and methodologies to improve model performance and reliability.
  • Maintain and update deployed models, ensuring their accuracy and efficiency over time, and troubleshoot any issues that arise during deployment.
Position Requirements 
  • Bachelor’s degree in data science, Computer Science, Statistics, or a related field; Master’s degree preferred
  • Minimum of five (5) years of experience performing quantitative analyses, preferably within the healthcare claims domain, including experience using Python for machine learning model development and deployment, and SQL, Databricks & PySpark to extract and manipulate data for data engineering tasks.
  • Proficient in developing code and analyses following good software development practices.
  • Experience with version control systems (GIT), CI/CD pipelines, and test-driven development.
  • Familiarity with cloud computing platforms, preferably Azure, for deploying and managing data science solutions.
  • Proven problem-solving abilities and a proactive approach to identifying and addressing business challenges through data-driven solutions, as well as experience presenting technical concepts and models to business and executive stakeholders effectively.
  • Demonstrated teamwork and collaboration skills, with the ability to work effectively in cross-functional teams.
Benefits 
  • Comprehensive Benefits - Medical, dental, and vision insurance, employee assistance program, employer-paid and voluntary life insurance, disability insurance, plus health and flexible spending accounts
  • Financial & Retirement Support â€“ Competitive compensation, 401k with employer match, and financial wellness resources
  • Time Off & Leave â€“ Paid holidays, flexible vacation time/PSSL, and paid parental leave
  • Wellness & Growth – Work life assistance resources, physical wellness perks, mental health support, employee referral program, and BenefitHub for employee discounts 
About Monogram Health

Monogram Health is a leading multispecialty provider of in-home, evidence-based care for the most complex of patients who have multiple chronic conditions. Monogram health takes a comprehensive and personalized approach to a person’s health, treating not only a disease, but all of the chronic conditions that are present - such as diabetes, hypertension, chronic kidney disease, heart failure, depression, COPD, and other metabolic disorders.  

Monogram Health employs a robust clinical team, leveraging specialists across multiple disciplines including nephrology, cardiology, endocrinology, pulmonology, behavioral health, and palliative care to diagnose and treat health issues; review and prescribe medication; provide guidance, education, and counselling on a patient’s healthcare options; as well as assist with daily needs such as access to food, eating healthy, transportation, financial assistance, and more. Monogram Health is available 24 hours a day, 7 days a week, and on holidays, to support and treat patients in their home. 

Monogram Health’s personalized and innovative treatment model is proven to dramatically improve patient outcomes and quality of life while reducing medical costs across the health care continuum.