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Sports Betting Algorithm Jobs (NOW HIRING)

Novig

Full Stack Engineer, L4

New York, NY · On-site

$1K/day

You'll own real-time data pipelines, shape the API that algorithmic traders live in, and have a ... Excited to work across the full stack to build the next generation of sports betting infrastructure

Ceasars Entertainment

Paid Search Manager

Las Vegas, NV · On-site

... sports betting leadership, Caesars Digital is Blazing The Trail in digital innovation, customer ... algorithm shifts. * Define channel guardrails and measurement frameworks that support aggressive ...

Ceasars Entertainment

Paid Search Manager

Las Vegas, NV · On-site

... sports betting leadership, Caesars Digital is Blazing The Trail in digital innovation, customer ... algorithm shifts. * Define channel guardrails and measurement frameworks that support aggressive ...

Sisal

AI Solution Design Senior Specialist

Milano, TX · On-site +1

$49 - $63/hr

Location: Milan About us Flutter, the world's largest online sports betting and iGaming group ... It supports the design and optimization of game mechanics and algorithms across all product ...

FanDuel

Senior Software Engineer

Atlanta, GA

$117K - $155K/yr

Strong understanding of data structures and algorithms, and how they apply to real-world systems ... FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and ...

FanDuel

Senior Software Engineer

Atlanta, GA

$117K - $155K/yr

Strong understanding of data structures and algorithms, and how they apply to real-world systems ... FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and ...

FanDuel

Staff AI Software Engineer

... sports betting environment. As a member of Tech Transformation team, you will research and build ... You are proficient in a broad range of data structures and algorithms, knowing when it is ...

Jobgether

... betting, adult, pharma, or similar verticals). * Strong practical knowledge of advanced SEO ... Deep understanding of Google algorithms, ranking signals, penalties, and recovery strategies from ...

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Sports Betting Algorithm information

Can I make sports betting a job?

A sports betting algorithm involves developing models to predict game outcomes and inform betting decisions, which can be part of a professional betting operation. While some individuals work as professional sports bettors or data analysts in this field, making sports betting a full-time job requires strong analytical skills, knowledge of sports, and risk management, and it often involves financial risk and variable income.

What are the key skills and qualifications needed to thrive as a Sports Betting Algorithm Developer, and why are they important?

To thrive as a Sports Betting Algorithm Developer, you need a solid background in statistics, probability, and data analysis, usually supported by a degree in mathematics, computer science, or a related field. Expertise in programming languages like Python or R, familiarity with machine learning frameworks, and experience with sports data APIs are typically required. Strong problem-solving abilities, attention to detail, and the ability to communicate complex findings clearly are valuable soft skills in this role. These skills are crucial for designing accurate predictive models, ensuring data integrity, and effectively informing betting strategies in a competitive environment.

What is a sports betting algorithm?

A sports betting algorithm is a computer-based system designed to analyze large amounts of sports data and predict the outcomes of sporting events. These algorithms use statistical models, machine learning, and historical data to identify betting opportunities with favorable odds. The goal is to help bettors make more informed decisions by providing data-driven insights rather than relying on intuition or guesswork. Successful algorithms are continuously updated to account for new data and changing conditions in sports. However, no algorithm can guarantee wins, as sports outcomes always involve some level of unpredictability.

What is the difference between Sports Betting Algorithm vs Sports Data Analyst?

AspectSports Betting AlgorithmSports Data Analyst
Required CredentialsKnowledge of algorithms, programming, statisticsStatistics, data analysis, programming skills
Work EnvironmentTech-focused, often remote, industry-specificData-driven, sports organizations, consulting firms
Employer & Industry UsageBetting companies, sportsbooks, gaming platformsSports teams, media outlets, analytics firms
Common Search & ComparisonFocus on algorithm development for bettingFocus on analyzing sports data for insights

The Sports Betting Algorithm primarily involves developing algorithms to predict betting outcomes, requiring programming and statistical skills. In contrast, a Sports Data Analyst interprets sports data to provide insights, often working within sports organizations or media. While both roles require data analysis expertise, their applications and work environments differ significantly.

What are some common challenges faced when working as a Sports Betting Algorithm Developer, and how can they be addressed?

One common challenge in the Sports Betting Algorithm Developer role is ensuring that models remain accurate and adapt to rapidly changing sports data and market trends. This often requires frequent data analysis, constant model retraining, and an ability to quickly incorporate new variables or strategies. Collaboration with data scientists, sports analysts, and risk managers is crucial to refine predictions and manage risk exposure. Staying updated with regulatory changes and ethical considerations is also essential. To address these challenges, developers should prioritize continuous learning, maintain strong communication with cross-functional teams, and leverage robust testing processes to validate algorithm performance.
Infographic showing various Sports Betting Algorithm job openings in the United States as of May 2026, with employment types broken down into 2% Locum Tenens, 3% As Needed, 17% Full Time, and 78% Part Time. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution.
Full Stack Engineer, L4

Full Stack Engineer, L4

Novig

New York, NY • On-site

$1K/day

Full-time

Medical, Dental, Vision, Retirement

Posted 9 days ago

Job description

Full Stack Engineer
$200k - $230k • meaningful equity
About Novig
Novig is building America's #1 sports prediction market. Our mission is to financialize and democratize sports trading - taking a closed system run by casinos and turning it into a fair, efficient, two-sided market where the power sits with users.
With CFTC approval on the horizon, we're poised to go live across all 50 states as the leading sports-focused, federally regulated market built on trust, transparency, and real user protection.
We're backed by some of Silicon Valley's top investors - Pantera, Forerunner, Lux, NFX, Paul Graham, and Joe Montana - who have collectively invested over $100M behind this vision.
About the Role
The infrastructure behind sports trading is broken and this role gives you the opportunity to fix it. Working across the stack, you'll borrow from the world of modern financial exchanges to build markets that are actually transparent and efficient, while keeping the experience seamless for the people using it. You'll own real-time data pipelines, shape the API that algorithmic traders live in, and have a real say in architecture decisions. One day you're deep in systems-level code, the next you're shipping a frontend component with Design. If sports, markets, and genuinely hard engineering problems get you out of bed in the morning, read on.
Who you are and what you will do
  • Excited to work across the full stack to build the next generation of sports betting infrastructure
  • Apply technologies used in modern financial exchanges to enforce transparent, efficient market practices while delivering a seamless user experience
  • Play a key role shaping both the market engine and the interface through which users engage with it
  • Build and maintain a developer-first API experience for algorithmic trading and power users
  • Expand product features by extending modular backend services and contributing to frontend components
  • Scale real-time data ingestion, processing, and distribution pipelines
  • Collaborate closely with Design and Product teams to build performant, intuitive user interfaces
  • Contribute to architecture and system design decisions across the stack
  • Improve observability and reliability across backend and frontend systems
  • Bring a passion for sports, markets, and technology, with curiosity about complex computer science challenges
  • Hold a Bachelor's or Master's degree in Computer Science or a related technical field
  • Possess 3+ years of professional experience building full-stack applications
  • Proficient in a systems programming language (e.g., Rust, Go, C++) and at least one modern frontend framework (e.g., React, Vue)
  • Experienced developing distributed systems with cloud-based architecture
  • Strong product intuition with the ability to translate business needs into technical solutions
  • Communicate clearly, solve problems effectively, and thrive both independently and in fast-moving, cross-functional teams

Why work here, in the words of the people who do
"I work with extremely stellar people, I own real systems, and decisions happen fast. No politics, no waiting for needless red tape. If something's broken, I fix it. If I build something good, it ships."
"The people! They're smart, thoughtful, fun to work with and passionate about their craft."
"I'm having the most fun I've had in my entire career."
If you want responsibility, trust, and the chance to help build the future of sports prediction markets - take your shot, we'd love to connect.
Not for everyone
  • Our work is tied to live sports - that means potential nights, weekends, and pressure included.
  • If you need clear swim lanes, a heavy process, or someone to tell you what to do, this won't be the right environment.

Compensation & benefits
  • $200k - $230k base, benchmarked at top-tier tech companies
  • Meaningful equity for every employee, regardless of role
  • 100% health premiums covered
  • 99% dental & vision covered
  • 401(k) with 4% company match
  • HSA + $1,080 annual company contribution
  • $27/day lunch stipend when working from our NYC office
  • $35/day dinner stipend when working from the NYC office after 6:30pm

Homebase
Union Square, NYC
In-person 4 days a week because we genuinely like being around each other.

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