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Permanent Football Data Science Jobs (NOW HIRING)

SumerSports LLC

Sr. Football Data Scientist

SumerSports is a leading football intelligence technology company that specializes in providing an ... Experience: 4+ years of experience in data science, preferably in a sports analytics environment ...

Ursus, Inc.

Sr. Football Data Scientist

... data science, preferably in a sports analytics environment. • Proficiency in Python and ... football analytics, demonstrated through industry experience, public content, or significant ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Bachelor's Degree in Computer Science, Data Science or similar major * Minimum of 1 year of experience in football data analysis * Deep knowledge of football, basketball or baseball; including roster ...

AEG

Data Analyst

Riverside, MO · On-site

Support integration and management of third-party football data providers and platforms. Performance & Player Analysis * Collaborate with sports science and medical staff to analyze workload ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... We have permanent and special topics courses at the 200 level (no prerequisites), 400 level (skills ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... We have permanent and special topics courses at the 200 level (no prerequisites), 400 level (skills ...

University of Hawaii

Lecturer (Data Science)

Hilo, HI · On-site

Lecturer (Data Science) Position Number: Pending Hiring Unit: College of Natural and Health ... Applicable Minimum for the Academic Year Temporary/Permanent: Temporary Other Conditions: Lecturer ...

International Motors, LLC

AI and Data Science Lead

Lisle, IL · On-site

$191K - $286K/yr

... Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. We do not ... Experience in data science, machine learning, or AI, including experience leading and scaling teams ...

Brillient

Data Scientist

Silver Spring, MD · On-site

Citizenship or a permanent resident and the ability to obtain and maintain a Government public ... The employee should have significant expertise in data science. Specific tasks shall include, but ...

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Permanent Football Data Science information

What are the key skills and qualifications needed to thrive as a Permanent Football Data Scientist, and why are they important?

To thrive as a Permanent Football Data Scientist, you need strong analytical skills, proficiency in statistics, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of sports analytics platforms are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex data into actionable insights for coaches and analysts. These skills are crucial for driving data-informed decisions that can enhance team performance and strategy in a competitive sports environment.

What are some common challenges faced by football data scientists in a permanent role, and how can they be addressed?

Football data scientists in permanent positions often encounter challenges such as integrating diverse data sources (e.g., match stats, tracking data, and biometric data), ensuring data quality, and translating analytical insights into actionable strategies for coaches and players. To overcome these challenges, strong communication skills are essential for collaborating with technical staff and decision-makers. Additionally, staying updated with the latest analytics tools and methodologies helps in producing relevant and impactful analyses that support the team's objectives.

What are permanent football data science jobs?

Permanent football data science jobs refer to full-time, ongoing positions within football clubs, organizations, or related companies, focused on analyzing and interpreting data to support decision-making in the sport. Professionals in these roles use statistical methods, machine learning, and data visualization to evaluate player performance, develop game strategies, and optimize team operations. Unlike contract or temporary roles, permanent positions typically offer greater job security, benefits, and opportunities for long-term career growth within the organization.

What is the difference between Permanent Football Data Science vs Football Data Analyst?

AspectPermanent Football Data ScienceFootball Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RDegree in Sports Management, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentResearch-focused, often in sports analytics companies or club data departmentsOperational, supporting coaching staff and management within clubs or agencies
Employer & Industry UsageSports analytics firms, football clubs, media outletsFootball clubs, sports agencies, media outlets

Permanent Football Data Science involves advanced data modeling and predictive analytics, often requiring programming skills and a strong statistical background. Football Data Analysts focus on interpreting data to inform coaching decisions and player performance, typically with less emphasis on complex modeling. Both roles are vital in football analytics but differ in technical depth and scope.

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What are the most commonly searched types of Football Data Science jobs? The most popular types of Football Data Science jobs are:
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What job categories do people searching Permanent Football Data Science jobs look for? The top searched job categories for Permanent Football Data Science jobs are:
Permanent Football Data Science jobs near you

Sr. Football Data Scientist

SumerSports LLC

Remote

Full-time

Medical, Retirement

Posted 16 days ago

Job description

SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.
What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.
We are seeking a motivated and skilled Senior Data Scientist to join our analytics team. You will be responsible for building, deploying, and refining a variety of football-focused analytical models, working with complex real-world datasets. You'll collaborate closely with other data scientists and engineers, ensuring our analytical products are accurate, robust, and impactful. The ideal candidate will demonstrate both strong technical skills and a proactive mindset, capable of independently taking projects from concept to deployment.
Responsibilities
  • Model Development and Analysis: Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings. Conduct comprehensive data analysis to extract actionable insights.
  • Model Productionization: Ensure seamless deployment of machine learning and statistical models using Python, Databricks, and Spark. You will work on converting existing R models to Python as part of your initial responsibilities.
  • Large Dataset Management: Handle large datasets efficiently using Spark and Databricks, ensuring data integrity and performance optimization.
  • Collaboration: Work closely with other data scientists, analysts, and stakeholders to understand their needs and deliver high-quality analytical solutions.
  • Innovation: Identify and implement new tools, techniques, and best practices to enhance our data analytics capabilities.

Qualifications
Education: Advanced degree (Masters or PhD) in a quantitative discipline, or equivalent professional experience.
Experience: 4+ years of experience in data science, preferably in a sports analytics environment. (level commensurate with experience)
Technical Skills:
  • Proficiency in Python and experience with Databricks.
  • Strong programming skills in Python, including experience deploying models beyond exploratory notebooks.
  • Documented experience in football analytics, demonstrated through industry experience, public content, or
    significant independent projects. Examples would include working for an NFL or NCAA analytics department, working for a third party analytics provider, achievement in events such as the Big Data Bowl, or original football analytics Github repos.
  • Solid foundation in statistical modeling and machine learning methodologies.
  • Proven ability to independently identify and resolve data-related challenges in real-world datasets.
  • Effective communication skills, with experience explaining technical concepts clearly

Benefits
  • Competitive Salary and Bonus Plan
  • Comprehensive health insurance plan
  • Retirement savings plan (401k) with company match
  • Remote working environment
  • A flexible, unlimited time off policy
  • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl

Apply