Top Artificial Intelligence Data & Analytics Jobs in Nashville, TN

As a Machine Learning Engineer, you'll develop and deploy ML models for medical imaging, collaborate with teams, and optimize for production environments.

The Senior Analyst will support product engineering efforts by analyzing digital solutions, enhancing user experiences, and collaborating across teams to deliver insights and improvements.

As a Senior Forward Deployed Data Engineer, you will design and implement data pipelines for media agency clients, manage technical delivery, and ensure data security while mentoring junior engineers and communicating effectively with stakeholders.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

Lead GTM analytics for Sales Operations: build and maintain dashboards, run SQL analyses on pipeline/booking/territory/productivity, improve Salesforce data quality, document metrics, support forecasting and ad-hoc GTM analysis, and leverage AI tools to automate and accelerate insights for GTM leadership.

Lead a team to develop data strategy and insights across multiple business functions, driving analytics evolution and ensuring data quality and governance.

Lead reporting and analysis across product, call center, and marketing; manage enrollment and revenue reconciliation; produce partner and carrier reports; analyze member engagement and plan performance to surface actionable insights.

Remote SQL Developer responsible for developing and maintaining critical SQL code, schemas, ETL pipelines, and data transformations. Tasks include writing complex stored procedures, schema/index design, query tuning, backup/restore, processing varied source formats, validating data, supporting stakeholders, and contributing to data engineering tooling and deployment practices in an agile startup environment.

Investigate financial transactions to identify potential money laundering activities, utilize AI for analysis, document findings, and collaborate with product teams on improvements.

Owner of cross-functional analytics projects: build and maintain dbt models, write advanced BigQuery SQL, create BI dashboards (Omni/Power BI), monitor data quality, define metrics, enable stakeholder decisions, and use AI tools to accelerate analysis and QA.