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Computer Science Sports Jobs in Queens, NY (NOW HIRING)

Twitch

Data Scientist

New York, NY · On-site

$157K - $212K/yr

... sports, cooking, and more. It is where thousands of communities come together for whatever, every ... OR a PhD in Economics, Statistics, Computer Science, or related quantitative field * Proficiency in ...

Fanatics Inc.

AI Engineer

New York, NY · On-site

Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and ... Bachelor's degree in Computer Science, AI/ML, Software Engineering, or a closely related field ...

TWG AI

Senior Engineer, AI Engineering

Manhattan, NY · On-site

$115K - $158K/yr

... Computer Science, Engineering, or related field Company : TWG AI provides enterprise AI infrastructure and systems for finance, insurance and sports organizations. Founded in 2025, the company is ...

Versant Media

Senior Data Engineer

Manhattan, NY · Hybrid

$116K - $158K/yr

... sports division USA Sports, along with complementary digital assets including Fandango, Rotten ... Bachelor's degree in Computer Science, Data Engineering, or equivalent practical experience * 5+ ...

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Computer Science Sports information

See Queens, NY salary details

$20.8K

$66.7K

$135K

How much do computer science sports jobs pay per year?

As of Sep 3, 2026, the average yearly pay for computer science sports in Queens, NY is $66,725.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,541.00 and $86,197.00 per year, depending on experience, location, and employer.

What is a computer science sports?

A Computer Science Sports job involves using technology, data analysis, and software development to improve various aspects of sports. Professionals in this field may work on performance analytics, sports simulations, wearable technology, or data-driven decision-making for teams and athletes. They often use programming, machine learning, and statistical analysis to optimize player performance, injury prevention, and game strategies. This role can be found in sports organizations, tech companies, and research institutions.

What does a computer science sports do?

Individuals working in Computer Science Sports typically spend their days collecting and analyzing performance data, developing software tools or predictive models to support coaching decisions, and collaborating with multidisciplinary teams including coaches, trainers, and sports scientists. They may also be responsible for maintaining databases, visualizing data for reports, and ensuring data integrity across multiple sources. Regular meetings with stakeholders help ensure projects align with team goals and athletic objectives. This role offers a dynamic environment at the intersection of technology and sports, with the potential to directly impact athletic performance and strategy.

What are the key skills and qualifications needed to thrive in computer science sports?

To succeed in a Computer Science Sports role, you should have a strong background in computer science fundamentals such as programming, data structures, and analytics, often paired with knowledge of sports science or management. Experience with data analytics tools, sport-specific software platforms, and programming languages like Python or R is highly valued, and certifications in areas such as data science or sports analytics can be advantageous. Excellent problem-solving, teamwork, and communication skills help in translating complex data insights to coaches, athletes, or executives. These abilities are important because they bridge the gap between technology and sports performance, driving informed decision-making and innovation in the athletic industry.

How is computer science used in sports?

Computer science in sports involves developing data analysis tools, performance tracking systems, and simulation models to improve athlete training and game strategies. Professionals in this field often work with programming languages, data visualization, and machine learning to enhance sports performance and fan engagement.

What are popular job titles related to Computer Science Sports jobs in Queens, NY?

For Computer Science Sports jobs in Queens, NY, the most frequently searched job titles are:

What job categories do people searching Computer Science Sports jobs in Queens, NY look for?

The top searched job categories for Computer Science Sports jobs in Queens, NY are:

Computer Science Sports jobs near you
Infographic showing various Computer Science Sports job openings in Queens, NY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $66,725 per year, or $32.1 per hour.

Executive Director / Director, AI Data Science (Fixed Income/Investment Banking)

TWG Global AI

Manhattan, NY • On-site

Full-time

Re-posted 12 days ago

Job description

At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries-including financial services, insurance, technology, media, and sports-by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees.
We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development.
You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation.
At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses.
The Role
As Executive Director on the AI Science team, you will lead the design and execution of high-impact AI and data science initiatives across TWG Global's fixed income and investment banking businesses. Reporting to the Managing Director of AI & Data, you will act as the senior technical leader for the function. You will drive enterprise-critical projects, set technical direction, and mentor a small team of data scientists working on pricing, risk, and capital markets problems.
You will partner closely with traders, bankers, risk leaders, and senior executives to align data science solutions with the firm's commercial priorities, ensuring advanced AI and quantitative methods are adopted responsibly and at scale. This role demands deep technical expertise in both machine learning and the mechanics of fixed income markets, paired with the ability to influence decision-makers and deliver measurable outcomes on the desk and across the enterprise.
Key Responsibilities
  • Lead flagship AI/ML projects that drive measurable value across fixed income trading, credit, rates, and investment banking workflows, from pricing and execution to risk and origination.
  • Direct the development of models for valuing illiquid instruments, forecasting price and spread movements, modeling prepayment and default risk, and analyzing the yield curve and interest rate dynamics.
  • Act as senior technical authority on advanced AI methods (generative AI, causal inference, LLM-based analytics, RAG, simulation) and on their application to quantitative finance.
  • Translate complex desk-level and banking challenges into enterprise-grade data science solutions with tangible P&L and risk-adjusted ROI.
  • Mentor and guide a small team of data scientists, building technical excellence, modeling rigor, and responsible AI adoption.
  • Partner with trading desks, banking coverage teams, risk, MDs, and executive committees to ensure AI initiatives align with firm-wide priorities.
  • Represent TWG Global in external technical forums and partnerships with universities, regulators, and technology leaders.
  • Define standards for experimentation, reproducibility, and model governance, consistent with the controls expected in a regulated capital markets environment.
  • Stay ahead of emerging trends in AI/ML and quantitative finance, advising on adoption and firm-wide capability building.

Requirements
  • 10 or more years of experience in data science or machine learning, with proven delivery of enterprise-impact projects, including direct work in fixed income, capital markets, or quantitative finance.
  • Strong expertise in advanced machine learning, causal inference, deep learning, statistical modeling, and time series analysis.
  • Working knowledge of fixed income fundamentals: duration, convexity, yield curves, credit spreads, rate models, and the pricing of debt instruments and derivatives.
  • Demonstrated success leading end-to-end projects and influencing senior stakeholders on a trading floor or within a banking or risk function.
  • Hands-on technical depth in Python (or R), cloud-based platforms, and modern ML frameworks.
  • Experience mentoring or leading small, high-performing teams.
  • Master's or PhD in Data Science, Statistics, Computer Science, Financial Engineering, Quantitative Finance, or a related discipline.

Preferred Qualifications:
  • Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments.
  • Familiarity with model risk management and validation standards (e.g., SR 11-7) and establishing standards for reproducibility, experimentation, and responsible AI in a regulated setting.
  • Experience with market and tick data infrastructure, including KDB+/q or similar time series stores.
  • Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics.
  • Cloud or AI/ML certifications (e.g., AWS ML Specialty, Google Cloud ML Engineer, Azure AI Engineer) are a plus.

Benefits
Position Location
This is an on-site position based in Santa Monica, CA or New York, NY. Relocation support is provided for qualified candidates.
Compensation
The expected base pay for this position is $299,000-390,000. A discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits.
TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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