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Data Science Manager Remote Jobs in Tennessee (NOW HIRING)

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Remote option available for candidates outside of surrounding areas. This role requires a highly ... Managed identities and least-privilege access controls Distributed Data Engineering * Develop ...

Data Engineer

Afton, TN · On-site +1

$100K - $120K/yr

Collaborate with business stakeholders, data engineers, and data scientists to understand data ... Ability to manage multiple projects and priorities in a fast-paced and dynamic environment. What We ...

Life Science Clinical Manager

Nashville, TN · On-site +1

$62K - $86K/yr

Data Management experience * Data Standards experience / knowledge * Techno-functional knowledge of ... Passionate about helping Life Sciences organizations navigate strategic, operational, and ...

Earth Science Tutor

Memphis, TN · Remote

$18 - $40/hr

... management. * Curriculum Awareness & Adaptive Instruction: Familiar with earth science curricula ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

... management. * Curriculum Awareness & Adaptive Instruction: Familiar with earth science curricula ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

Earth Science Tutor

Kingsport, TN · Remote

$18 - $40/hr

... management. * Curriculum Awareness & Adaptive Instruction: Familiar with earth science curricula ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

Earth Science Tutor

Knoxville, TN · Remote

$18 - $40/hr

... management. * Curriculum Awareness & Adaptive Instruction: Familiar with earth science curricula ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

Earth Science Tutor

Nashville, TN · Remote

$18 - $40/hr

... management. * Curriculum Awareness & Adaptive Instruction: Familiar with earth science curricula ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

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Data Science Manager Remote information

What does a remote Data Science Manager do?

A remote Data Science Manager oversees a team of data scientists, analysts, and engineers, ensuring that data-driven projects are successfully executed from a remote location. Their responsibilities include managing project timelines, providing technical guidance, mentoring team members, and aligning data initiatives with business goals. They also coordinate with other departments to implement data solutions, ensure data quality, and communicate results to stakeholders. Working remotely, they use digital tools to collaborate, monitor progress, and maintain team productivity.

What are the key skills and qualifications needed to thrive as a Data Science Manager (Remote), and why are they important?

To thrive as a Data Science Manager in a remote setting, you need a robust background in statistics, programming (e.g., Python, R), machine learning, and a related degree, often supplemented by experience leading data teams. Familiarity with data analytics tools like SQL, cloud platforms (AWS, Azure), and project management software is typically required, along with certifications such as Certified Data Scientist or PMP. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and aligning projects with business goals. These skills ensure effective project delivery, foster innovation, and maintain team cohesion in a virtual work environment.

How does a Data Science Manager working remotely typically collaborate with cross-functional teams?

As a remote Data Science Manager, effective collaboration with cross-functional teams—such as engineering, product, and business stakeholders—relies heavily on clear communication and efficient use of digital tools. Regular virtual meetings, project management platforms, and shared documentation are essential to align on objectives, share progress, and troubleshoot challenges. Building trust and fostering a culture of transparency helps ensure that remote data science teams stay connected and engaged with broader organizational goals, despite not sharing a physical workspace.

What is the difference between Data Science Manager Remote vs Data Analyst Remote?

AspectData Science Manager RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learning and leadershipBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentLeads data science teams, manages projects, and develops models remotelyAnalyzes data, prepares reports, and supports decision-making remotely
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceMarketing agencies, retail, finance, and consulting firms

The main difference is that Data Science Managers oversee data science teams and projects, requiring leadership skills and advanced technical knowledge, while Data Analysts focus on analyzing data and generating reports. Both roles can be remote and are in high demand across various industries.

What are the most commonly searched types of Data Science Remote jobs in Tennessee? The most popular types of Data Science Remote jobs in Tennessee are:
What are popular job titles related to Data Science Manager Remote jobs in Tennessee? For Data Science Manager Remote jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Science Manager Remote jobs in Tennessee look for? The top searched job categories for Data Science Manager Remote jobs in Tennessee are:
What cities in Tennessee are hiring for Data Science Manager Remote jobs? Cities in Tennessee with the most Data Science Manager Remote job openings:
Data Engineer - Hybrid / Remote

Data Engineer - Hybrid / Remote

Surgery Partners

Brentwood, TN • On-site, Remote

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Surgery Partners rating

7.6

Company rating: 7.6 out of 10

Based on 80 frontline employees who took The Breakroom Quiz

191st of 884 rated healthcare providers


Job description

Data Engineer - Hybrid / Remote Opportunity
  • Hybrid for candidates in Nashville and surrounding areas.
  • Remote option available for candidates outside of surrounding areas.

This role requires a highly technical Data Engineer with expert-level proficiency in Azure Databricks, distributed data pipelines, and large-scale healthcare data processing. This role focuses on designing and implementing high-throughput ingestion pipelines, transactional lakehouse layers, and secure PHI data flows using Azure-native services and Databricks runtime optimizations.
You will build and operate production-grade data pipelines that meet rigorous requirements for security, lineage, compliance (HIPAA), observability, and operational SLAs, supporting analytics, AI, and clinical insights across the organization.
Core Responsibilities
Platform & Architecture
  • Architect and implement scalable data processing pipelines using:

    • Databricks Runtime (Apache Spark, Spark SQL, MLflow, Delta Lake)
    • Delta Lake ACID transactions, Z-Ordering, OPTIMIZE, and Change Data Feed (CDF)
    • Unity Catalog for governance, lineage, RBAC, and audit controls

  • Design and enforce a medallion (Bronze/Silver/Gold) architecture with schema evolution, Delta Live Tables (DLT), and robust error-handling patterns
  • Build high-performance ingestion frameworks for:

    • FHIR and HL7 message streams
    • X12 837/835 healthcare claims data
    • EHR/EMR source systems
    • Batch, real-time, and event-driven data sources

Azure Cloud Engineering
  • Develop and operate data pipelines leveraging:

    • Azure Data Lake Storage Gen2 (hierarchical namespace, ACLs, POSIX permissions)
    • Azure Data Factory or Synapse Pipelines (parameterization, dynamic pipelines, triggers)
    • Azure Event Hubs and/or Service Bus for streaming ingestion
    • Azure SQL Database and Azure Synapse (Dedicated and Serverless pools)
    • Azure Functions for lightweight orchestration and automation
    • Azure Monitor, Log Analytics, and Application Insights for observability

  • Implement enterprise-grade security including:

    • VNet integration and private endpoints
    • Secrets and key management using Azure Key Vault
    • Managed identities and least-privilege access controls

Distributed Data Engineering
  • Develop optimized PySpark and/or Scala pipelines using advanced Spark techniques:

    • Catalyst optimizer tuning
    • Cluster sizing and autoscaling strategies
    • Adaptive Query Execution (AQE)
    • Efficient join strategies (broadcast vs. shuffle)

  • Build and maintain:

    • High-volume batch ETL pipelines (100M+ records)
    • Low-latency streaming pipelines using Spark Structured Streaming

  • Implement CI/CD for Databricks environments, including:

    • Git-integrated DEV/QA/PROD workspaces
    • Automated job and workflow deployments
    • Unit testing using pytest and Databricks testing frameworks

Healthcare Data & Compliance
  • Design and implement secure PHI pipelines compliant with:

    • HIPAA Privacy and Security Rules
    • SOC 2 and HITRUST-aligned controls

  • Build pipelines supporting healthcare data standards including:

    • FHIR R4 resources (Patient, Encounter, Observation, Claim, etc.)
    • HL7 v2.x messages (ADT, ORU, ORM)
    • X12 EDI transactions (837, 835, 270/271)

  • Ensure end-to-end lineage tracking, auditability, and data retention across all lakehouse layers

Required Qualifications
  • 5+ years of experience in modern data engineering roles
  • Expert-level proficiency in:

    • PySpark and Spark SQL
    • Databricks (Jobs, Workflows, Repos, Delta Live Tables)
    • Delta Lake architecture and transactional design patterns
    • Azure Data Factory or Azure Synapse Pipelines
    • Cloud-native data security (RBAC, ABAC, privilege boundary enforcement)

  • Strong experience working with healthcare data formats and standards:

    • FHIR (JSON)
    • HL7 v2/v3
    • X12 EDI claims data

  • Deep understanding of distributed systems, data partitioning strategies, concurrency, and cluster resource tuning

Preferred Qualifications
  • Experience implementing Unity Catalog at enterprise scale
  • Familiarity with MLOps workflows and Databricks MLflow
  • Experience using dbt with Databricks SQL
  • Relevant certifications, including:
  • Databricks Data Engineer Professional
  • Microsoft Azure DP-203
  • HL7 or FHIR certification (nice to have)

Benefits:
  • Comprehensive health, dental, and vision insurance
  • Health Savings Account with an employer contribution
  • Life Insurance
  • PTO
  • 401(k) retirement plan with a company match
  • And more!

ENVIRONMENTAL/WORKING CONDITIONS: Normal busy office environment with much telephone work. Possible long hours as needed. The description is intended to provide only basic guidelines for meeting job requirements. Responsibilities, knowledge, skills, abilities and working conditions may change as needs evolve.
*If you are viewing this role on a job board such as Indeed.com or LinkedIn, please know that pay bands are auto assigned and may not reflect the true pay band within the organization.
*No Recruiters Please
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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