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Remote Data Science Sports Jobs in Raleigh, NC (NOW HIRING)

Deloitte

GCP Manager

Raleigh, NC · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

IQVIA, Inc.

Data Security Architect (Remote)

Durham, NC · On-site +1

$61.50 - $79.25/hr

As a data-driven global life sciences company, IQVIA manages one of the world's most complex and sensitive healthcare data estates - spanning clinical research, real-world evidence, commercial ...

Ethos Risk Services

IT Data Architect

Garner, NC · Remote

Our synergetic Ethos IT Team is growing and seeking a full-time Data Architect (REMOTE) to lead the ... A Bachelor's degree in Computer Science, Information Technology, or a related field is preferred.

XTG

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ... EDUCATION & EXPERIENCE Bachelor's degree in Computer Science, Information Systems, Data Engineering ...

COMPASS Pathways

HEOR Science Liaison

Raleigh, NC · On-site +1

$63K - $85K/yr

Location: Remote in the United States. Reports to: Director, HEOR. Roles and responsibilities ... Deliver fair-balanced, scientifically rigorous presentations on clinical data, real-world evidence ...

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All JobsRemote Data Science Sports JobsRemote Data Science Sports Jobs in Raleigh, NC

Remote Data Science Sports information

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

To thrive as a Remote Data Science Sports professional, you need a strong background in statistics, data analysis, and sports knowledge, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with programming languages such as Python or R, proficiency in data visualization tools, and experience with machine learning frameworks are typically required. Excellent problem-solving abilities, communication skills, and self-motivation are crucial soft skills for collaborating remotely and translating complex data into actionable insights. These skills ensure accurate sports data modeling, effective remote teamwork, and valuable contributions to decision-making in sports organizations.

What is the difference between Remote Data Science Sports vs Remote Data Analysis Sports?

AspectRemote Data Science SportsRemote Data Analysis Sports
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves modeling and machine learningData interpretation, reporting, and visualization, often in business contexts
Employer & Industry UsageTech companies, sports analytics firms, media outletsSports teams, media companies, sports analytics agencies

Remote Data Science Sports involves advanced modeling, machine learning, and statistical analysis, requiring higher technical credentials. Remote Data Analysis Sports focuses on interpreting data, creating reports, and visualizations. Both roles are common in sports industry analytics but differ in complexity and technical depth.

How do remote data science professionals in the sports industry typically collaborate with coaches and analysts to turn data insights into actionable strategies?

Remote data science professionals in the sports industry often work closely with coaches, analysts, and other stakeholders through regular virtual meetings and collaborative platforms. They translate complex data findings into intuitive visualizations and reports, making it easier for non-technical team members to understand and apply insights. Communication and responsiveness are key, as data scientists may need to quickly adjust analyses based on feedback or new priorities from the sports staff. Building strong relationships and maintaining clear channels of communication help ensure that data-driven recommendations are effectively integrated into training, game strategies, and player development.

What is a remote data science sports job?

A remote data science sports job involves analyzing sports-related data to extract insights, build predictive models, and support decision-making, all while working from a location outside of a traditional office, typically from home. Professionals in this role use statistical methods, programming, and machine learning to evaluate player performance, game strategies, or fan engagement. Their work helps sports teams, leagues, media companies, and betting firms make evidence-based decisions. Remote positions offer flexibility and often require strong communication skills to collaborate with teams virtually. The demand for these roles is growing as the sports industry increasingly relies on data-driven strategies.
What are popular job titles related to Remote Data Science Sports jobs in Raleigh, NC? For Remote Data Science Sports jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Sports jobs in Raleigh, NC look for? The top searched job categories for Remote Data Science Sports jobs in Raleigh, NC are:
Remote Data Science Sports jobs near you
Infographic showing various Remote Data Science Sports job openings in Raleigh, NC as of June 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Cloud Data Architect (Full-time Remote, NC Based)

Cloud Data Architect (Full-time Remote, NC Based)

Alliance

Morrisville, NC • On-site, Remote

$116K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Job description

The Cloud Data Architect is responsible for design and implementation of scalable enterprise-wide data architecture. These responsibilities include optimizing data performance and accessibility, and ensuring data quality, integrity and security.
This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.
Responsibilities & Duties
Data Architecture Design and Modelling
  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms
  • Establish data access patterns (serving layers, semantic models, APIs) to optimize downstream analytics and reporting
  • Participate in business analysis activities to elicit data product requirements

Enterprise Data Platform Strategy
  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Define future-state data architecture roadmaps aligned to organizational strategy and modernization initiatives
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms

Data Engineering Enablement
  • Define reference architectures, coding standards, and reusable patterns for data engineering teams
  • Review and approve solution designs to ensure adherence to enterprise data architecture standards
  • Provide technical mentorship and design guidance to engineers and analysts

Data Governance & Security
  • Participate in data governance council and provide input on data standards and policies to ensure data quality, security, and compliance
  • Collaborate with security and compliance teams to implement data classification, encryption, access controls, and audit logging
  • Ensure data architectures comply with HIPAA, and organizational data privacy standards

Stakeholder Collaboration & Communication
  • Capture end-user requirements and align technical solutions to strategic business objectives
  • Translate business needs into scalable, secure, and well-governed data architecture solutions
  • Provide architectural expertise and leadership guidance to data engineering teams

Minimum Requirements
Education & Experience
Bachelor's degree in computer science or related field and at least five (5) years of experience working as a Cloud Data Architect with direct involvement and responsibilities for architecting an enterprise-scale data Lakehouse or data warehouse on a Microsoft Azure cloud platform, preferably in a healthcare setting.
The following technical certification (or comparable) is required:
• Databricks Certified Data Engineer Professional
The following technical certification (or comparable) is preferred:
• Azure Security Engineer Associate (AZ-500)
Knowledge, Skills, & Abilities
  • Architecting enterprise-scale Medallion data platforms on Microsoft Azure
  • Databricks Development and Administration
  • Data modeling: dimensional (Kimball), star/snowflake, and SCDs
  • Enterprise governance frameworks for data quality, lineage, and metadata
  • PySpark and SQL skills for scalable batch and streaming pipelines
  • Azure Data Services: ADLS Gen2, Data Factory, Synapse
  • DevOps, Git and CI/CD best practices
  • Architectural artifacts & documentation (e.g., technical specs, data models, policies, procedures, architecture diagrams)
  • Agile methodology and tools
  • HIPAA/HITECH compliance in cloud architectures
  • Technical leadership skills
  • Communication and organizational skills
  • Ability to work independently and in a team setting
  • Experience working with healthcare datasets

Employment for this position is contingent upon a satisfactory background and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.
Salary Range
$116,011-$147,914/Annually
Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity.
An excellent fringe benefit package accompanies the salary, which includes:
  • Medical, Dental, Vision, Life, Long Term Disability
  • Generous retirement savings plan
  • Flexible work schedules including hybrid/remote options
  • Paid time off including vacation, sick leave, holiday, management leave
  • Dress flexibility

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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