Top Data Science Jobs in Nashville, TN

Lead Value Consultant responsible for executing value management strategy, enhancing customer value initiatives, and driving cross-functional collaboration for impactful outcomes.

As a Product Manager, you will contribute to product strategy, gather market insights, and collaborate with stakeholders to build innovative healthcare solutions.

This role involves managing the product roadmap for energy SaaS solutions, collaborating with teams to define user stories, and supporting marketing efforts.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

The Director of Analytics will drive data-driven decisions at Rula by generating insights and recommendations, leading a team of data scientists, and connecting analytics to business strategy.

The Partner Marketing Manager will develop and execute marketing programs with strategic partners, enhance partner relationships, and drive pipeline growth in the data and AI sectors.

As an Associate Product Manager, you will gain hands-on experience managing products, launching features, and collaborating across teams. You'll be trained in product management, focus on customer needs, and help deliver innovative solutions that drive business impact.

Lead product marketing efforts for Domino's Data Science platform. Develop messaging, drive go-to-market strategies, and create thought leadership content while engaging with data science executives.

Lead Upstart's Auto Analytics team, managing analytics for Auto Refinance and Retail Lending, enhancing decision-making and growth strategies through data insights.

Lead product strategy for Merchant Performance Growth, build intelligence capabilities, and drive attribution efforts while collaborating across teams to enhance merchant relationship and revenue.

The Staff Data Scientist will lead predictive solutions development, collaborating with multiple teams to drive business outcomes through AI/ML model implementations.

The Sales Engineer Intern will engage with the sales team, learn products, assist in technical demonstrations, and use analytical skills to present solutions to potential customers.

This role involves leading a technical support team, managing incident processes, collaborating cross-functionally, and driving operational improvements in healthcare tech.

Lead AI initiatives at GM, developing comprehensive strategies aligned with business objectives and promoting best practices in a cross-functional environment.

Lead a team of Data Scientists and Machine Learning Engineers to develop ML models, drive product strategy and enhance data infrastructure.

Join the Customer Success team to manage customer support, troubleshoot issues, and improve documentation and processes. Engage with internal teams to enhance product offerings.

The Director of AI Adoption & Enablement drives AI solution adoption, influences customer journeys, and manages AI integration across teams, ensuring customer success and strategy alignment.

The Senior Commercial Strategy Analyst leads the ADS commercial strategy for the Americas, driving revenue growth through data-driven solutions. Responsibilities include developing go-to-market strategies, analyzing commercial data, managing cross-functional teams, and enhancing customer engagement.

As a Technical Recruiter, you will source and recruit top technical talent for AI/ML and Data Science roles while managing candidate experience and the hiring process.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.

As an AI Tutor - JSON, you will review JSON data structures, solve modeling tasks, and enhance AI-generated outputs by ensuring compliance with JSON standards.

Lead product vision for ranking systems and Data API. Collaborate with teams to drive innovation, manage products, and identify investment opportunities.

The role involves assisting in Profit & Loss attribution and reporting, daily routines and projects in the equity derivatives trading department.

The Manager, Data Science will deliver data-driven insights for multiple brands, develop AI/ML models, and support brand strategies through collaboration with Sales and the US Commercial teams.

The role involves leading tech project management for theft detection initiatives, collaborating with executives, and coordinating cross-functional teams to ensure project success.