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Top Remote Data & Analytics Jobs in Nashville, TN

19 Days Ago
Remote
Hybrid
US
Senior level
Senior level
Agency • Information Technology • Professional Services • Retail • Consulting • Financial Services • Agriculture
The Vice President, Data Science & AI at Valtech will lead data science and AI initiatives, managing a team to deliver scalable solutions using Microsoft Azure and Databricks. Responsibilities include strategic leadership, client engagement, sales enablement, and ensuring technical expertise in AI technologies to drive growth.
Top Skills: DatabricksAzure
19 Days Ago
Remote
USA
Senior level
Senior level
Artificial Intelligence • Software
As Lead Data Scientist, you will oversee NLP research and R&D, translating product needs into machine learning tasks, leading data collection and evaluation practices, and guiding teams in creating state-of-the-art LLM systems.
Top Skills: Python
19 Days Ago
Remote
USA
250K-350K Annually
Expert/Leader
250K-350K Annually
Expert/Leader
Healthtech • Pet
The VP of Data at Roo will lead the Data team, defining and executing a data strategy that drives business growth and insights, overseeing data engineering, collaboration with cross-functional teams, and ensuring data governance.
Top Skills: SQL

Featured Jobs

19 Days Ago
Remote
United States
Senior level
Senior level
Legal Tech
The Data Engineer will design and build data pipelines for the Rocket Data Platform, ensuring reliability and efficiency. Responsibilities include translating queries, utilizing Snowflake and Apache Airflow, collaborating with stakeholders, and implementing automated testing for data quality.
Top Skills: HiveqlPythonSQL
Mid level
Consulting
Consultants will lead projects focused on the design and execution of solutions for the alternative investment industry. Responsibilities include conducting business requirements interviews, analyzing business needs, and implementing technology solutions.
19 Days Ago
Remote
United States
Senior level
Senior level
Information Technology
The Director of Data & Analytics will lead the data strategy and implementation, manage a team, design scalable data architectures, and translate data insights for better business decisions. This role requires collaboration with multiple departments and a focus on data governance and emerging technologies.
Top Skills: PythonSQL
19 Days Ago
Remote
4 Locations
Entry level
Entry level
Blockchain • Software • Database • Analytics
The Blockchain Data Wizard role focuses on transforming complex blockchain data into accessible information for analysts and engineers. Responsibilities include handling large data sets, ensuring data quality, building custom APIs, and applying AI and LLMs to improve user experience with blockchain data.
Top Skills: Apache BeamDbtSQL
19 Days Ago
Remote
Hybrid
United States
77K-145K Annually
Mid level
77K-145K Annually
Mid level
Artificial Intelligence • Fintech • Machine Learning • Natural Language Processing • Business Intelligence
The Lifecycle Marketing Analyst will analyze customer data to drive engagement, retention, and growth throughout the customer lifecycle. Responsibilities include analyzing customer journeys, tracking campaign performance, developing customer segments, conducting A/B testing, providing data-driven insights, and collaborating with cross-functional teams to enhance marketing strategies.
Top Skills: PythonRSQL
19 Days Ago
Remote
Hybrid
US
Junior
Junior
Healthtech • Biotech
As a Clinical Genomics Scientist I, you will assess and classify genetic variants, perform technical reviews of sequencing data, communicate with stakeholders, maintain variant knowledgebases, and contribute to workflow development and clinical report writing.
19 Days Ago
Remote
United States
Senior level
Senior level
Agency • Fintech • Information Technology • Software • Consulting
The Senior Data Consultant will design a data strategy aligned with organizational goals, perform assessments of existing data infrastructures, and provide plans for compliance with privacy laws. This role involves collaboration with various executive teams and requires expertise in data governance and analytics.
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