Principal Data Scientist Visa Sponsorship Jobs in Tennessee
Principal data scientist roles in Tennessee are concentrated in Nashville's healthcare analytics sector, with employers like HCA Healthcare, Vanderbilt University Medical Center, and Genesco actively hiring. Memphis-based logistics firms and Oak Ridge National Laboratory also anchor demand. These positions require a directly related STEM degree and qualify for multiple visa sponsorship pathways.
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Get Access To All JobsINTRODUCTION
Oracle Cloud Infrastructure (OCI) is seeking a highly motivated Principal Data Automation Engineer to help accelerate the digital transformation of OCI's global supply chain operations. Reporting to the Senior Director of Data Automation, Supply Chain, this role will design, develop, and implement advanced data platforms, AI-enabled automation, predictive analytics, and operational intelligence solutions that improve efficiency, scalability, and decision-making across OCI's rapidly growing supply chain organization.
As a senior individual contributor, you will partner closely with Supply Planning, Manufacturing, Sourcing, Logistics, Capacity Planning, Data Center Operations, and Engineering teams to develop intelligent automation, operational dashboards, machine learning models, and data products that enable proactive management of supply chain operations. This role requires deep technical expertise, strong business acumen, and the ability to influence cross-functional stakeholders through data-driven solutions.
ROLE AND RESPONSIBILITIES
Data Automation & AI Solutions
- Design, build, and maintain scalable data automation solutions supporting OCI's global supply chain.
- Develop AI and machine learning models that improve forecasting, inventory optimization, supply planning, logistics execution, manufacturing readiness, and operational performance.
- Identify opportunities to eliminate manual processes through automation, predictive analytics, and intelligent workflows.
- Build reusable automation frameworks and data products that improve operational efficiency and business scalability.
- Evaluate emerging AI and automation technologies and recommend practical applications across supply chain operations.
Data Engineering & Analytics
- Design and develop robust data pipelines, models, and architectures that support real-time operational reporting and advanced analytics.
- Build scalable datasets that enable forecasting, planning, inventory management, supplier performance, and deployment execution.
- Ensure data quality, governance, reliability, and accessibility across multiple enterprise systems.
- Develop dashboards, scorecards, and self-service analytics that improve operational visibility across global supply chain functions.
- Collaborate with engineering teams to integrate data across Oracle Fusion Cloud Applications, operational systems, and cloud platforms.
Operational Intelligence
- Develop operational dashboards, KPI frameworks, and control tower capabilities that provide end-to-end visibility into supply chain performance.
- Create intelligent alerting mechanisms that proactively identify operational risks, exceptions, and bottlenecks.
- Build predictive models supporting scenario planning, capacity management, supplier performance, and deployment readiness.
- Translate complex operational data into actionable insights that support day-to-day execution and long-term planning.
Cross-Functional Collaboration
- Partner with Supply Planning, Procurement, Manufacturing, Logistics, Capacity Management, and Data Center Operations teams to understand business challenges and develop scalable technical solutions.
- Collaborate with product managers, engineers, and business stakeholders to define analytics requirements and deliver impactful data solutions.
- Provide technical guidance and subject matter expertise for automation initiatives and enterprise data projects.
- Influence best practices for data engineering, analytics, and automation across the organization.
Continuous Improvement
- Drive improvements in data quality, automation, reporting accuracy, and operational efficiency.
- Identify opportunities to simplify processes, reduce technical debt, and improve maintainability of data platforms.
- Document technical designs, data models, and automation solutions to support long-term scalability and operational excellence.
- Stay current on emerging technologies in AI, machine learning, cloud computing, and data engineering.
BASIC QUALIFICATIONS
Experience
- 7–10+ years of experience in data engineering, analytics, automation, AI/ML, or related technical roles.
- Experience designing and developing scalable data pipelines, analytics platforms, and automation solutions.
- Proven experience delivering data products and dashboards supporting cross-functional business operations.
- Experience applying predictive analytics or machine learning to solve operational or supply chain challenges.
- Demonstrated ability to independently lead complex technical initiatives from concept through implementation.
- Experience supporting supply chain, manufacturing, logistics, procurement, or cloud infrastructure operations is preferred.
Technical Skills
- Strong proficiency in SQL and Python for data engineering, automation, and analytics.
- Experience with ETL/ELT pipelines, data modeling, orchestration frameworks, and cloud-based data platforms.
- Knowledge of AI/ML techniques, predictive analytics, and automation frameworks.
- Experience with business intelligence and visualization tools such as Oracle Analytics Cloud, Tableau, or Power BI.
- Familiarity with Oracle Fusion Cloud Applications (SCM, Procurement, Planning, ERP) is preferred.
- Understanding of forecasting, inventory management, manufacturing operations, logistics, and supply planning concepts.
- Experience working with cloud technologies and distributed systems architectures is a plus.
Professional Skills
- Strong analytical and problem-solving abilities with attention to detail.
- Excellent communication skills with the ability to explain technical concepts to both technical and business audiences.
- Ability to manage multiple priorities in a fast-paced, rapidly evolving environment.
- Demonstrated ability to influence stakeholders and drive technical solutions without direct managerial authority.
- Self-motivated with a passion for automation, continuous improvement, and innovation.
INTRODUCTION
Oracle Cloud Infrastructure (OCI) is seeking a highly motivated Principal Data Automation Engineer to help accelerate the digital transformation of OCI's global supply chain operations. Reporting to the Senior Director of Data Automation, Supply Chain, this role will design, develop, and implement advanced data platforms, AI-enabled automation, predictive analytics, and operational intelligence solutions that improve efficiency, scalability, and decision-making across OCI's rapidly growing supply chain organization.
As a senior individual contributor, you will partner closely with Supply Planning, Manufacturing, Sourcing, Logistics, Capacity Planning, Data Center Operations, and Engineering teams to develop intelligent automation, operational dashboards, machine learning models, and data products that enable proactive management of supply chain operations. This role requires deep technical expertise, strong business acumen, and the ability to influence cross-functional stakeholders through data-driven solutions.
ROLE AND RESPONSIBILITIES
Data Automation & AI Solutions
- Design, build, and maintain scalable data automation solutions supporting OCI's global supply chain.
- Develop AI and machine learning models that improve forecasting, inventory optimization, supply planning, logistics execution, manufacturing readiness, and operational performance.
- Identify opportunities to eliminate manual processes through automation, predictive analytics, and intelligent workflows.
- Build reusable automation frameworks and data products that improve operational efficiency and business scalability.
- Evaluate emerging AI and automation technologies and recommend practical applications across supply chain operations.
Data Engineering & Analytics
- Design and develop robust data pipelines, models, and architectures that support real-time operational reporting and advanced analytics.
- Build scalable datasets that enable forecasting, planning, inventory management, supplier performance, and deployment execution.
- Ensure data quality, governance, reliability, and accessibility across multiple enterprise systems.
- Develop dashboards, scorecards, and self-service analytics that improve operational visibility across global supply chain functions.
- Collaborate with engineering teams to integrate data across Oracle Fusion Cloud Applications, operational systems, and cloud platforms.
Operational Intelligence
- Develop operational dashboards, KPI frameworks, and control tower capabilities that provide end-to-end visibility into supply chain performance.
- Create intelligent alerting mechanisms that proactively identify operational risks, exceptions, and bottlenecks.
- Build predictive models supporting scenario planning, capacity management, supplier performance, and deployment readiness.
- Translate complex operational data into actionable insights that support day-to-day execution and long-term planning.
Cross-Functional Collaboration
- Partner with Supply Planning, Procurement, Manufacturing, Logistics, Capacity Management, and Data Center Operations teams to understand business challenges and develop scalable technical solutions.
- Collaborate with product managers, engineers, and business stakeholders to define analytics requirements and deliver impactful data solutions.
- Provide technical guidance and subject matter expertise for automation initiatives and enterprise data projects.
- Influence best practices for data engineering, analytics, and automation across the organization.
Continuous Improvement
- Drive improvements in data quality, automation, reporting accuracy, and operational efficiency.
- Identify opportunities to simplify processes, reduce technical debt, and improve maintainability of data platforms.
- Document technical designs, data models, and automation solutions to support long-term scalability and operational excellence.
- Stay current on emerging technologies in AI, machine learning, cloud computing, and data engineering.
BASIC QUALIFICATIONS
Experience
- 7–10+ years of experience in data engineering, analytics, automation, AI/ML, or related technical roles.
- Experience designing and developing scalable data pipelines, analytics platforms, and automation solutions.
- Proven experience delivering data products and dashboards supporting cross-functional business operations.
- Experience applying predictive analytics or machine learning to solve operational or supply chain challenges.
- Demonstrated ability to independently lead complex technical initiatives from concept through implementation.
- Experience supporting supply chain, manufacturing, logistics, procurement, or cloud infrastructure operations is preferred.
Technical Skills
- Strong proficiency in SQL and Python for data engineering, automation, and analytics.
- Experience with ETL/ELT pipelines, data modeling, orchestration frameworks, and cloud-based data platforms.
- Knowledge of AI/ML techniques, predictive analytics, and automation frameworks.
- Experience with business intelligence and visualization tools such as Oracle Analytics Cloud, Tableau, or Power BI.
- Familiarity with Oracle Fusion Cloud Applications (SCM, Procurement, Planning, ERP) is preferred.
- Understanding of forecasting, inventory management, manufacturing operations, logistics, and supply planning concepts.
- Experience working with cloud technologies and distributed systems architectures is a plus.
Professional Skills
- Strong analytical and problem-solving abilities with attention to detail.
- Excellent communication skills with the ability to explain technical concepts to both technical and business audiences.
- Ability to manage multiple priorities in a fast-paced, rapidly evolving environment.
- Demonstrated ability to influence stakeholders and drive technical solutions without direct managerial authority.
- Self-motivated with a passion for automation, continuous improvement, and innovation.
Principal Data Scientist Job Roles in Tennessee
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Search Principal Data Scientist Jobs in TennesseePrincipal Data Scientist Jobs in Tennessee: Frequently Asked Questions
Which companies in Tennessee sponsor visas for principal data scientists?
HCA Healthcare and Vanderbilt University Medical Center are among the most active sponsors for senior data science roles in Nashville, given Tennessee's deep healthcare analytics industry. Oak Ridge National Laboratory sponsors researchers at the principal level. FedEx in Memphis and Nissan's North America headquarters in Franklin have also filed for data science positions, particularly as machine learning capabilities expand across logistics and manufacturing.
Which visa types realistically fit principal data scientist roles in Tennessee?
Principal data scientist roles qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, mathematics, or a related field, making H-1B visa the most common path. H-1B1 visa applies to Chilean and Singaporean nationals. Australians can pursue the E-3 visa. F-1 students may use OPT or, if their degree carries a STEM-designated CIP code, the 24-month STEM OPT extension. EB-2 or EB-3 employment-based green cards suit longer-term candidates.
How to find principal data scientist visa sponsorship jobs in Tennessee?
Migrate Mate lists Tennessee employers with verified sponsorship history for principal data scientist roles, so you can focus on companies that have already filed for positions at this level rather than cold-applying broadly. Nashville's healthcare sector and Oak Ridge's research corridor generate consistent demand. Filtering by role seniority on Migrate Mate helps surface employers specifically accustomed to sponsoring senior individual-contributor data science positions.
Which cities in Tennessee have the most principal data scientist sponsorship jobs?
Nashville accounts for the majority of principal data scientist sponsorship activity in Tennessee, driven by its concentration of large healthcare systems, insurers, and health-tech firms requiring advanced modeling and ML expertise. Memphis generates openings in supply-chain analytics and financial services. Oak Ridge, while smaller, produces senior-level research roles through the national laboratory. Franklin and Brentwood, as suburban Nashville business corridors, also host corporate data science teams.
Are there state-specific factors that affect visa sponsorship for principal data scientists in Tennessee?
Tennessee's dominance in healthcare IT creates a consistent pipeline for principal data scientists through partnerships between employers like HCA Healthcare and universities such as Vanderbilt. Oak Ridge National Laboratory's DOE affiliation means some roles carry security-clearance requirements that complicate sponsorship for non-citizens. Tennessee has no state income tax, which affects offer structures, though prevailing-wage obligations under H-1B and E-3 are set by federal DOL standards, not state policy.
What is the prevailing wage for sponsored principal data scientist jobs in Tennessee?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.