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Remote Data Science Sports Jobs in Remote, OR (NOW HIRING)

SOSi

Data Scientist

OR · On-site +1

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

SOSi

Senior Data Scientist

OR · On-site +1

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Lumen Technologies

Senior Data Scientist

OR · Remote

$84K - $112K/yr

Partner across Finance, FP&A, Data Science, and IT to turn business needs into practical solutions ... Bonus Structure #LI-Remote Requisition #: 342510 Life at Lumen Life at Lumen is human and connected ...

Lumen Technologies

Senior Lead Applied AI Scientist

OR · Remote

$176K - $220K/yr

Required Qualifications * 7+ years of experience in applied AI, machine learning, or data science ... Bonus Structure #LI-REMOTE #LI-SB1 Requisition #: 342925 Life at Lumen Life at Lumen is human and ...

Atos

Head of AI

OR · On-site +1

This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI ... Geography: United States and Canada (remote/hybrid depending on location) * Travel: Up to 25-40 ...

Atos

Head of AI

OR · On-site +1

This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI ... Geography: United States and Canada (remote/hybrid depending on location) * Travel: Up to 25-40 ...

EM Key Solutions Inc

Temporary AI Engineer

OR · On-site +1

AI Engineer Temporary Assignment (through 2/13/2027) Remote, USA; potential for minimal ad hoc ... Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or ...

EM Key Solutions Inc

AI Engineer

Myrtle Point, OR · Remote

AI Engineer Remote, USA; potential for minimal ad hoc travel EMKS is seeking an AI Engineer to ... Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or ...

EM Key Solutions Inc

AI Engineer

OR · On-site +1

AI Engineer Remote, USA; potential for minimal ad hoc travel EMKS is seeking an AI Engineer to ... Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or ...

Agfa

Customer Support Analyst, Tier 1

OR · Remote

... data management. From product development to implementation, our unified Enterprise Imaging ... Remote: Canada / US What You'll Do: * Provide telephone and remote access, consultation and ...

AGFA

Customer Support Analyst, Tier 1

OR · On-site +1

... data management. From product development to implementation, our unified Enterprise Imaging ... Remote: Canada / US What You'll Do: * Provide telephone and remote access, consultation and ...

Data Analysis Inc.

Lead IAM Engineer - Remote

OR · Remote

$125K - $140K/yr

Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or related technical ... Company Description Data Analysis Inc (DAI) is the parent company of a global group of privately ...

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All JobsData Science Sports JobsRemote Data Science Sports JobsRemote Data Science Sports Jobs in Remote, OR

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.

Do data scientists work in sports?

Data scientists in sports analyze large datasets to improve team performance, player health, and game strategies. They use tools like Python, R, and machine learning techniques to extract insights from sports data, often working for teams, leagues, or sports analytics companies.

How much do sports data scientists make?

Sports data scientists typically earn between $70,000 and $120,000 annually, depending on experience, location, and the level of the organization. Entry-level roles may start lower, while experienced professionals or those working with major sports teams or organizations can earn higher salaries, especially with advanced skills in statistical analysis, machine learning, and programming tools like Python or R.

How much do NFL data scientists make?

NFL data scientists typically earn between $70,000 and $130,000 annually, depending on experience, education, and the complexity of projects. They often work with statistical software, machine learning tools, and sports analytics platforms in a collaborative environment.

Can data science jobs be done remotely?

Remote data science jobs, including roles in sports analytics, are common and often involve tasks such as data analysis, modeling, and visualization using tools like Python or R. Many companies offer remote positions to access a wider talent pool, and these roles typically require strong communication skills and familiarity with cloud-based collaboration platforms.

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 Remote, OR? For Remote Data Science Sports jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Sports jobs in Remote, OR look for? The top searched job categories for Remote Data Science Sports jobs in Remote, OR are:
Remote Data Science Sports jobs near you
Infographic showing various Remote Data Science Sports job openings in Remote, OR as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution.
Data Scientist

Data Scientist

SOSi

OR • On-site, Remote

Full-time

Posted 11 days ago

Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
  • The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
  • The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or;
    • seven (7) years of equivalent experience in machine learning and predictive modeling.
  • Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
  • Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
  • Knowledge of data visualization, feature selection, and geospatial analytics is required.
  • Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.
  • Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
  • Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

Preferred Qualifications:
  • Desirable but not required certifications include AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).

Additional Information
Work Environment
  • Full remote flexibility.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.

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