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Sports Analytics Machine Learning Jobs in Chicago, IL

Tiger Analytics Inc.

AI/ML Tech Partner (USA)

Chicago, IL · On-site

$120K/yr

We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and ...

Lightspeed

AI & Machine Learning Engineer

Northbrook, IL · On-site

$100 - $130/hr

You will develop machine learning models for computer vision, predictive analytics, autonomous decision‑making, and process optimization--all deployed in real‑time production environments where ...

Jobtailor

Data Scientist

Chicago, IL · On-site

$120 - $160/hr

Apply machine learning, statistical modeling, and causal inference to generate insights and measurable business value * Conduct exploratory data analysis, data mining, and data preparation across ...

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Sports Analytics Machine Learning information

What is sports analytics machine learning?

Sports analytics machine learning is the application of data science and machine learning techniques to analyze sports data, such as player statistics, game outcomes, and biometric information. Professionals in this field develop models to identify patterns, predict player performance, optimize team strategies, and gain competitive advantages. This work involves collecting large datasets, cleaning and processing data, and using algorithms to extract actionable insights that can benefit teams, coaches, and athletes. Sports analytics with machine learning is increasingly used in professional sports to inform decisions about training, recruitment, and game tactics.

How do sports analytics machine learning professionals typically collaborate with coaches and athletes to impact game strategy?

Sports Analytics Machine Learning professionals often work closely with coaches and athletes by translating complex data insights into practical recommendations. They attend strategy meetings, present findings through visualizations, and help interpret trends that can influence training, player selection, and in-game tactics. Effective communication is key, as these professionals must bridge the gap between technical analyses and real-world sports applications. This collaborative environment not only enhances team performance but also provides opportunities to see the direct impact of your work on the field.

What are the key skills and qualifications needed to thrive as a sports analytics machine learning specialist, and why are they important?

To thrive as a Sports Analytics Machine Learning Specialist, you need a strong background in statistics, data analysis, programming (typically in Python or R), and an understanding of machine learning algorithms, often supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools, sports databases, and machine learning frameworks like TensorFlow or scikit-learn is essential, along with experience using SQL and data pipelines. Strong problem-solving, communication, and collaboration skills help translate complex data findings into actionable insights for coaches, players, and stakeholders. These skills are crucial for extracting meaningful patterns from vast sports datasets and driving performance improvements or strategic decisions within sports organizations.

What are popular job titles related to Sports Analytics Machine Learning jobs in Chicago, IL?

For Sports Analytics Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Sports Analytics Machine Learning jobs in Chicago, IL look for?

The top searched job categories for Sports Analytics Machine Learning jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Sports Analytics Machine Learning jobs?

Cities near Chicago, IL with the most Sports Analytics Machine Learning job openings:

Sports Analytics Machine Learning jobs near you

AI/ML Tech Partner (USA)

Tiger Analytics Inc.

Chicago, IL • On-site

$120K/yr

Full-time

Re-posted 24 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, has recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. If you are passionate about working on unstructured business problems that can be solved using data and are excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you.

We are seeking a highly experienced AI Tech Partner with 18+ years of experience to lead enterprise-scale AI and data transformation initiatives. This role blends deep technical expertise with strategic business leadership to drive innovation, build scalable AI ecosystems, and deliver measurable business value across client engagements.

Responsibilities

  • Act as a trusted advisor to C-level stakeholders, defining AI strategy, roadmaps, and transformation initiatives aligned to business goals
  • Lead end-to-end delivery of AI/ML solutions, from data discovery and modeling to deployment, monitoring, and continuous improvement
  • Architect and implement scalable data platforms (lakehouse, data mesh) and AI ecosystems leveraging cloud technologies (AWS, GCP, Azure)
  • Drive advanced analytics, machine learning, and GenAI use cases, including NLP, forecasting, optimization, and recommendation systems
  • Establish and scale MLOps practices, including CI/CD pipelines, model governance, observability, and lifecycle management
  • Translate complex business requirements into technical specifications, including data models, STTM, and transformation logic
  • Lead large, cross-functional teams across data engineering, data science, and analytics
  • Ensure responsible AI practices, including model explainability, fairness, privacy, and regulatory compliance
  • Identify new business opportunities, contribute to pre-sales, solutioning, and thought leadership
  • Mentor senior talent and build high-performing AI and data teams

Requirements

  • 18+ years of experience in AI, data science, analytics, or data engineering, with significant consulting/services background
  • Proven track record of leading large-scale AI and data transformation programs for enterprise clients
  • Deep expertise in machine learning, statistical modeling, optimization, and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
  • Strong programming skills in Python and SQL, with experience in distributed data processing (Spark)
  • Extensive experience with modern data platforms and tools (Databricks, Snowflake, BigQuery, dbt)
  • Expertise in cloud-native architectures and services across AWS, GCP, or Azure
  • Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow) and production-grade deployments
  • Strong understanding of data modeling, ETL/ELT pipelines, and data governance frameworks
  • Experience with Generative AI (LLMs, prompt engineering, RAG architectures, vector databases)
  • Industry agnostic experience in domains such as Retail, CPG, Insurance, Financial Services, Pharma & Life Science, SaaS, Manufacturing, Telecom, etc.
  • Experience with data privacy regulations (GDPR, HIPAA) and AI risk frameworks
  • Advanced degree in Computer Science, Data Science, Statistics, or related field

Key Competencies 

  • Strategic leadership and executive communication
  • Deep technical problem-solving and architecture design
  • Client relationship management and business development
  • Ability to bridge business and technical teams effectively
  • Innovation mindset with a focus on scalable, reusable solutions

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment with a high degree of individual responsibility.

Disclaimer

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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