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Nba Data Science Jobs in Illinois (NOW HIRING)

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$14.9K

$95.7K

$183.8K

How much do nba data science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for nba data science in Illinois is $95,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,312.00 and $136,448.00 per year, depending on experience, location, and employer.

What is an NBA Data Science job?

An NBA Data Science job involves using statistical modeling, machine learning, and data analysis to evaluate player performance, optimize team strategies, and improve decision-making in basketball operations. Professionals in this role work with large datasets, including player tracking data, game statistics, and biomechanics, to extract actionable insights. They collaborate with coaches, front-office staff, and analysts to enhance scouting, game tactics, and player development. Strong programming skills in Python or R, along with expertise in data visualization and predictive modeling, are essential for success in this field.

What does an NBA Data Science professional do?

As an NBA Data Science professional, your day-to-day work often involves cleaning and analyzing large datasets on player performance, in-game events, and scouting information. You will develop predictive models, create data visualizations, and interpret statistical results to support coaching staff and front-office decision-makers. Collaboration with coaches, video analysts, and other departments is common, as you will help translate data into actionable insights. Additionally, you'll stay up to date with the latest advancements in basketball analytics and may be asked to present findings in meetings or reports. The role is dynamic and impactful, offering opportunities to influence game strategy and long-term team development.

What are the key skills and qualifications needed to thrive in the NBA Data Science position?

To thrive in NBA Data Science, you need strong analytical skills, expertise in statistics, programming proficiency (usually in Python or R), and a deep understanding of basketball data and metrics, typically supported by a degree in statistics, computer science, mathematics, or a related field. Familiarity with data visualization tools, SQL databases, and machine learning frameworks is highly valued, and additional certifications in data science or analytics are beneficial. Effective communication, teamwork, and problem-solving skills set standout candidates apart, as the role requires translating complex data insights for coaches, managers, and other non-technical stakeholders. These skills are essential to drive data-informed decision-making that can impact team strategy and player performance within a fast-paced NBA environment.

What are popular job titles related to Nba Data Science jobs in Illinois?

For Nba Data Science jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Nba Data Science jobs in Illinois look for?

The top searched job categories for Nba Data Science jobs in Illinois are:

What cities in Illinois are hiring for Nba Data Science jobs?

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Nba Data Science jobs near you
Infographic showing various Nba Data Science job openings in Illinois as of August 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 100% In-person job distribution, with an average salary of $95,740 per year, or $46 per hour.

Director, International CRM Intelligence & Insights Strategy

Scorpion Therapeutics

Lake Forest, IL • On-site

$177 - $294/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Role Responsibilities
  • International CRM decision-intelligence lead; translate customer/campaign/market data into recommendations shaping CRM strategy and next-best-action.
  • Own predictive & diagnostic analytics for CRM effectiveness (segmentation, propensity/next-best-action, CLV, churn, channel preference, engagement, conversion) using AI/ML.
  • Define data quality, product segmentation, and audience attributes; diagnose/escalate data gaps blocking CRM activation (with Data & Audience Strategy/data engineering).
  • Use generative and agentic AI to accelerate insights generation; build reusable prompts/analytical agents/skills for self-serve insight.
  • Partner with KPI Council/Business Insights & Reporting to maintain CRM KPIs and define trust/performance metrics for AI-generated content and agentic journeys.
  • Define/evolve CRM dashboards and self-serve insight for International CRM; ensure metrics align to standardized reporting.
  • Lead CRM research and opportunity sizing (market sizing, segmentation, CLV, cross-sell, new-market opportunities) to inform strategy/investment.
  • Define CRM data governance/privacy best practices (consent, list management, database hygiene) and stay current on privacy/responsible-AI guidance.
Qualifications
  • Bachelor’s degree + 10+ years relevant experience.
  • Hands-on customer analytics platform experience (e.g., Adobe/Google Analytics) and strong SQL (build/join/optimize complex queries).
  • AI fluency; working knowledge of ML for CRM audiences (segmentation, propensity/NBA, churn, uplift) and comfort partnering with data science/AI.
  • Track record turning data into measurable marketing/commercial decisions; experience scaling regional analytics/reporting internationally.
  • Understanding of CDP/audience attributes/data quality & governance; partnering with Legal/Compliance on privacy/consent.
  • Exceptional matrix leadership and executive influence; strong writing/presentation; role model for Pfizer values; fluent English.
Preferred
  • Master’s; CDP/audience platforms (e.g., Salesforce Data Cloud/Marketing Cloud); predictive/decisioning tools; advanced SQL; measurement/governance frameworks for AI content/agentic journeys; pharma/healthcare knowledge; advanced degree in marketing/business/quant; multilingual asset.

Travel/Work: Occasional travel (≤20%); time zone flexibility; hybrid 2–3 days/week onsite (US/EU/Kirkland, Canada).

Benefits/Pay (as stated): Base salary $176,600–$294,300; bonus target 20%; eligible for long-term incentive; 401(k) with match and additional retirement contribution; paid leave; medical/dental/vision.

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