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Work From Home Football Data Analytics Jobs in Remote, OR

The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics ... Additional Information Work Environment * Full remote flexibility. Working at SOSi All interested ...

At Lumen, you'll work on infrastructure customers rely on today and build for what's next, where ... The ideal candidate combines deep analytical expertise with practical experience developing ...

Our editors and other teammates are here to support you. Work from anywhere, any hours (we just ... on data to make decisions -3+ years of social media marketing and content creation -Editorial ...

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Showing results 41-60

Work From Home Football Data Analytics information

What is a work from home football data analytics professional?

A Work From Home Football Data Analytics job involves analyzing football-related data to provide insights on team performance, player statistics, and game strategies. Analysts use data modeling, statistical techniques, and software tools to interpret trends and patterns. The role may involve working with sportsbooks, clubs, or media outlets to improve decision-making. Strong skills in data analysis, programming (Python, R, SQL), and knowledge of football analytics are typically required.

What are the typical daily responsibilities for a work from home football data analytics professional?

As a Work From Home Football Data Analytics professional, your daily tasks usually include gathering and cleaning football-related data, performing statistical analyses, and generating reports or visualizations on player or team performance. You may also collaborate with coaches, scouts, or other analysts through virtual meetings to discuss findings and provide actionable insights. Additionally, keeping up-to-date with new data trends, methodologies, and sports analytics technologies is important. The work is both independent and collaborative, requiring strong time management and communication skills to deliver results to stakeholders remotely.

What are the key skills and qualifications needed to thrive in the work from home football data analytics position, and why are they important?

To thrive as a Work From Home Football Data Analytics professional, you need a strong analytical mindset, knowledge of football statistics, and proficiency in mathematics or data science, often backed by a relevant degree. Expertise with data analysis tools like Python, R, SQL, and platforms such as Tableau or Power BI is typically required, along with experience in sports analytics software. Effective communication, self-motivation, and problem-solving abilities are vital soft skills for remote collaboration and delivering actionable insights. These competencies are crucial for interpreting complex data sets, producing meaningful analyses, and contributing to data-driven decisions in the football industry.

What are popular job titles related to Work From Home Football Data Analytics jobs in Remote, OR?

For Work From Home Football Data Analytics jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Work From Home Football Data Analytics jobs in Remote, OR look for?

The top searched job categories for Work From Home Football Data Analytics jobs in Remote, OR are:

Senior Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 20 days ago


Key responsibilities

  • Design and implement advanced machine learning models and statistical methods to support forecasting, risk assessment, and decision-making processes.

  • Conduct data provenance tracking, documenting sources, transformations, and lineage for compliance and reporting purposes.

  • Implement sprint-based Agile methodologies to ensure rapid development, backlog management, and alignment with mission requirements.


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 Senior 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 design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
  • The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
  • The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
  • 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
  • Active TS/SCI Clearance.
  • Master's degree in Data Science, Machine Learning, Statistics, or a related field, or;
    • nine (9) years of equivalent experience in AI/ML model development and deployment.
  • Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
  • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
  • Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
  • Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
  • Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
  • Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
  • Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.

Preferred Qualifications:
  • Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.

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.