Top Data Science Jobs in Nashville, TN

As a Senior Data Scientist at Spring Health, you will work with the Customer Experience team to build data products, analyze member mental health journeys, and provide actionable insights to enhance customer satisfaction and product value. Your role involves collaborating with internal teams and implementing AI/ML capabilities to improve mental health care solutions.

As a Senior Product Analyst at Headway, you will be responsible for collaborating with product and engineering teams to define analytical requirements and use data insights to improve decision-making and product strategies. You will leverage analytics to influence user behavior trends and drive effective product development.

The Director of Data Science & Analytics will lead initiatives to leverage data analytics for business growth, manage reporting and analytics teams, develop strategies using advanced techniques like machine learning, and ensure compliance with data regulations. This role requires an in-depth understanding of the Amazon ecosystem and involves fostering data-driven decision-making across the organization.

The Staff Data Science Engineer will spearhead data-driven innovations for online grocery delivery at Instacart, focusing on building intelligent systems, enhancing data collection methods, and developing user-friendly tools for data scientists. This role requires strategic collaboration across teams, prioritizing various data initiatives, and implementing complex technical solutions that impact multiple facets of the business.

The Principal Software Product Manager - Data at Omnidian will lead the development of data-driven products, collaborating closely with Data Science, Engineering, and other teams. Responsibilities include product documentation, communication with stakeholders, product strategy, tracking success metrics, client engagement, and market research to drive innovative solutions aligned with business goals.

As an AI Tutor at Alignerr, you will enhance AI models' understanding of data science through teaching, evaluation, and resistance testing. Your responsibilities will include applying statistical methods, guiding machine learning applications, and fostering data ethics in AI. The role requires both technical expertise and a commitment to exploring AI advancements.

The Senior Data Scientist will work with health and care data to provide insights and recommendations, maintaining algorithms, integrating new datasets, and creating data visualizations. Collaboration with operations, sales, and product teams is essential to address business needs through data-driven solutions.

As a Senior Product Manager at Honor, you will guide product direction, working from conception to launch in a fast-paced environment. Your role includes driving alignment with stakeholders, managing competing priorities, and working closely with data science teams to set success metrics and embrace experimentation. You are expected to communicate complex ideas clearly and act like an owner in a remote-friendly setting.

Lead and manage a team of data engineers to maintain and grow Valo Health's data engineering platform. Collaborate with multi-functional teams to support drug discovery efforts by driving the evolution of the data platform, ensuring scalability, and promoting best practices in data management and governance.

The Senior Manager I, Data Science and Analytics will lead a team to deliver analytics services for healthcare.gov communications. This role includes mentorship, project design and evaluation, ensuring quality of analytical products, and providing strategic insights based on data findings.

As a Lead Data Scientist at Humana, you will drive data-driven solutions for marketing teams, optimize performance, conduct strategic consulting, and oversee analytics efforts. Responsibilities include test design, campaign analysis, advanced analytics, and agency partnerships to improve marketing effectiveness.

The Software Manager for Data Analytics leads a team in transforming data into actionable insights, designs visualization systems, and communicates with decision-makers. Responsibilities include optimizing data strategies, managing team performance, and ensuring data privacy compliance. The role necessitates a successful track record in program management and effective interpersonal skills.

The Software Manager for Data Analytics will lead data engineering and data science initiatives, mentored by guiding team members and facilitating communication with the Product Owner and customers. Responsibilities include developing strategies for data pipelines, adhering to standards, and overseeing project execution. Ensuring successful data transformation and loading processes is also key, along with managing a technical team's performance.

The SMX Summer Internship offers self-motivated students hands-on learning experiences in various fields including IT and Data Science. Interns will complete a Capstone project, attend meetings with leaders, and engage in networking and community volunteer events. This program lasts nine weeks and fosters critical thinking and communication skills while providing exposure to real business projects.

The Defensive Cyber Subject Matter Expert will define the technical strategy for the DCO Practice Area, collaborate with various stakeholders, provide technical insights, and drive business development. They will maintain knowledge of industry trends, advocate for practice area needs, and mentor the technology team while representing Leidos at external events.

As a Senior Product Manager at SentiLink, you will identify unaddressed areas of fraud and risk and collaborate with internal teams to develop solutions. You will gather input from executives, prioritize investigations, and manage the roadmap and execution of tasks with data scientists and engineers, enhancing the product offerings.

As a Lead Data Scientist, you will focus on improving the Fingerprint Pro Identification Service by applying advanced data science and machine learning techniques. You will lead technical strategies, mentor engineers, and oversee data science projects from concept to deployment, integrating with the identification platform and enhancing the team’s technical expertise.