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Freelance Football Data Science Jobs in Illinois

Alignerr

Data Scientist (Masters)

Chicago, IL · Remote

Freelance autonomy with meaningful, intellectually engaging work * High-impact contributions: your expertise directly shapes how advanced AI systems reason about data science * Potential for ongoing ...

AEG Presents

Data Scientist Intern

Chicago, IL · On-site

$16.60/hr

The Chicago Fire Football Club (Chicago Fire FC) is an American professional soccer club that ... Enrolled in a quantitative Bachelor's or Master's program in Mathematics, Data Science, Statistics ...

AEG

Data Scientist Intern

Chicago, IL · On-site

$16.60/hr

The Chicago Fire Football Club (Chicago Fire FC) is an American professional soccer club that ... Enrolled in a quantitative Bachelor's or Master's program in Mathematics, Data Science, Statistics ...

AEG Presents

Data Analyst Intern

Chicago, IL · On-site

$16.60/hr

... football operations stakeholders. The data scientist intern will get insight and experience into a wide array of different processes throughout the club. Job Responsibilities: * Partner with ...

AEG

Data Analyst Intern

Chicago, IL · On-site

$16.60/hr

... football operations stakeholders. The data scientist intern will get insight and experience into a wide array of different processes throughout the club. Job Responsibilities: * Partner with ...

Digitas

Senior Analyst, Data Governance

Chicago, IL · On-site

$54.91K - $86.50K/yr

Familiarity with data management; experience working with data dev, engineering and data science ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

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Freelance Football Data Science information

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

To thrive as a Freelance Football Data Scientist, you need a strong background in statistics, programming (such as Python or R), and a solid understanding of football analytics, often supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (e.g., Tableau), machine learning frameworks, and football-specific data providers like Opta or Wyscout is typically expected. Strong communication, problem-solving skills, and the ability to translate complex data insights into actionable recommendations set top performers apart. These skills are crucial for delivering valuable, client-focused insights that inform player evaluation, match analysis, and strategic decision-making in a highly competitive sports industry.

What are some common challenges faced by freelance football data scientists when working with clubs or sports organizations?

Freelance football data scientists often encounter challenges such as gaining access to high-quality, comprehensive datasets and aligning their analysis with the unique goals of each client. Communication can also be demanding, as explaining complex insights to coaches or executives with varying levels of statistical understanding is crucial. Additionally, balancing multiple projects and managing expectations around deadlines and deliverables requires strong organizational skills. Building trust and credibility as an external consultant is essential for long-term collaborations.

What is freelance football data science?

Freelance football data science involves independent professionals who analyze football-related data to provide insights on player performance, match strategies, recruitment, and more. These freelancers use statistical techniques, machine learning, and data visualization tools to help clubs, agencies, media, or betting companies make informed decisions. Unlike full-time staff, freelance football data scientists work on a project-by-project basis, offering flexibility and specialized expertise. They often collect, clean, and interpret large datasets from matches, tracking systems, or public databases to deliver actionable recommendations.

What is the difference between Freelance Football Data Science vs Freelance Sports Data Analyst?

AspectFreelance Football Data ScienceFreelance Sports Data Analyst
CredentialsBackground in data science, statistics, or related fields; familiarity with football analyticsBackground in sports management, statistics, or data analysis; broader sports knowledge
Work EnvironmentProject-based, remote or freelance; focused on football-specific dataProject-based, remote or freelance; covers various sports including football
Industry UsageUsed mainly by football clubs, analytics firms, and media outletsUsed by sports teams, broadcasters, and research firms across multiple sports

Freelance Football Data Science specializes in football-specific data analysis, requiring expertise in football metrics and data science. In contrast, Freelance Sports Data Analysts work across multiple sports, applying broader sports analytics skills. Both roles are freelance, project-based, and often remote, but differ mainly in their focus and industry application.

What are the most commonly searched types of Football Data Science jobs in Illinois? The most popular types of Football Data Science jobs in Illinois are:
What are popular job titles related to Freelance Football Data Science jobs in Illinois? For Freelance Football Data Science jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Freelance Football Data Science jobs in Illinois look for? The top searched job categories for Freelance Football Data Science jobs in Illinois are:
What cities in Illinois are hiring for Freelance Football Data Science jobs? Cities in Illinois with the most Freelance Football Data Science job openings:
Freelance Football Data Science jobs near you

Data Science Expert - AI Content Specialist

Alignerr

Chicago, IL • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Science Expert - AI Content Specialist
About the Role
What if your deep knowledge of machine learning, statistics, and data engineering could directly shape how the next generation of AI thinks and reasons? We're looking for Data Science Experts to help train and refine cutting-edge AI models - working alongside world-leading AI research labs from wherever you are in the world.
This is a fully remote, flexible contract role designed for experienced data scientists, ML engineers, and quantitative researchers who want to do meaningful, intellectually stimulating work on their own schedule.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Design Advanced Challenges
    - Develop complex, expert-level data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
  • Author Ground-Truth Solutions
    - Write rigorous, step-by-step technical solutions - including Python/R scripts, SQL queries, and mathematical derivations - that serve as the gold standard for model training
  • Audit AI-Generated Code
    - Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical correctness, efficiency, and best practices
  • Refine AI Reasoning
    - Identify logical failures in AI thinking - such as data leakage, overfitting, or mishandled class imbalance - and deliver structured feedback that improves model performance
  • Stress-Test Model Limits
    - Push AI systems to their boundaries across machine learning theory, statistical inference, neural network architectures, and data engineering pipelines
Who You Are
  • Hold or are pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field
  • Strong foundational expertise in supervised/unsupervised learning, deep learning, big data technologies (Spark, Hadoop), or NLP
  • Able to communicate complex algorithmic and statistical concepts clearly and precisely in writing
  • Meticulous attention to detail - from code syntax to mathematical notation to the validity of statistical conclusions
  • Self-directed and comfortable working independently on technical tasks
  • No prior AI or annotation experience required
Nice to Have
  • Experience with data annotation, data quality, or AI evaluation workflows
  • Familiarity with production data science practices such as MLOps or CI/CD pipelines for models
  • Prior work in academic research, technical writing, or quantitative analysis
Why Join Us
  • Work directly with industry-leading large language models and cutting-edge AI research
  • Fully remote and async - work on your own schedule, from anywhere
  • Freelance autonomy with consistent, meaningful technical work
  • Engage with intellectually challenging problems that have a real impact on the future of AI
  • Potential for ongoing contract renewals as new projects launch

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