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Remote Sports Analytics Jobs (NOW HIRING)

SumerSports LLC

AI Application Engineer

Explore how LLMs, retrieval, and deterministic logic can create novel sports analytics tools. Use ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...

SumerSports LLC

Sr. Football Data Scientist

Experience: 4+ years of experience in data science, preferably in a sports analytics environment ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...

SumerSports LLC

MLOps / ML Platform Engineer

Background in sports analytics or other high-volume data domains. * Experience integrating LLM ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...

SumerSports LLC

LLMOps Platform Engineer

Background in sports analytics, data engineering, or multimodal (video/text) systems. * Exposure to ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...

Crypto.com

Quant Trader (Sports Event Market Making)

$120K - $180K/yr

Market Analysis: Continuously monitor a wide range of sports prediction markets-including but not ... Flexi-work hour and hybrid or remote set-up Aspire career alternatives through us - our internal ...

Seven Points Capital

Sports Betting / Traders

Remote Description This is a new position for traders that understand the Sportsbook business ... Identify, analyze and interpret trends or patterns in complex data sets • Report on how ...

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Remote Sports Analytics information

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$64.5K

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$179K

How much do remote sports analytics jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote sports analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Sports Analytics professional, and why are they important?

To thrive as a Remote Sports Analytics professional, you need strong analytical abilities, a background in statistics or data science, and a comprehensive understanding of sports, often supported by a relevant degree. Proficiency in analytical tools such as Python, R, SQL, and data visualization platforms like Tableau is typically required. Attention to detail, effective communication, and problem-solving skills are essential soft skills for interpreting data and conveying insights to stakeholders. These skills ensure accurate data-driven decisions, impactful reporting, and valuable contributions to team or organizational performance.

What are some common challenges faced by professionals working in remote sports analytics, and how can they be addressed?

Remote sports analytics professionals often face challenges such as collaborating effectively with team members across different time zones, accessing real-time data feeds, and maintaining clear communication with coaches and decision-makers who may be on-site. To overcome these hurdles, it's important to leverage collaboration tools, establish regular virtual check-ins, and ensure robust data security protocols. Building strong digital communication skills and being proactive about sharing insights can help bridge the gap between remote analysts and on-site teams.

What is remote sports analytics?

Remote sports analytics involves analyzing sports data and statistics from a location outside of traditional sports venues, often using digital tools and software. Professionals in this field use data analysis, machine learning, and visualization techniques to evaluate player performance, team strategies, and game outcomes. This role can be performed from home or any remote location, making it accessible to analysts who may not be physically present at sporting events. Remote sports analysts often work for professional teams, sports organizations, media outlets, or technology companies that provide analytics services.
More about Remote Sports Analytics jobs
What cities are hiring for Remote Sports Analytics jobs? Cities with the most Remote Sports Analytics job openings:
What are the most commonly searched types of Sports Analytics jobs? The most popular types of Sports Analytics jobs are:
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Remote Sports Analytics jobs near you
Infographic showing various Remote Sports Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.

AI Application Engineer

SumerSports LLC

Remote

Full-time

Medical, Retirement

Posted 16 days ago

Job description

SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.
What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.
As an AI App Engineer, you'll be the hands-on builder behind the intelligent products that make Sumer Sports unique. You'll own the end-to-end development of LLM-based applications - from prompt and retrieval design to evaluation, orchestration, and user interface integration.
You'll work within a cross-functional product pod (with PMs, designers, and Eval Engineers) and partner closely with the LLMOps Platform team and Sports Data teams to ship high-quality, domain-aware, and trustworthy AI experiences.
Responsibilities:
  • Design and build AI-powered user features: Implement prompt-based and retrieval-augmented systems (RAG) that answer complex sports questions and generate insights.
  • Build agents and workflows that combine deterministic logic with LLM reasoning.
  • Prototype and iterate fast: Use prompting, tool orchestration, and retrieval design to rapidly build and refine AI behaviors. Collaborate with Eval Engineers to build golden sets and automate quality checks before release.
  • Work closely with the LLMOps Platform team: Use shared eval frameworks, prompt registries, and model gateways. Provide feedback loops to improve platform reliability, latency, and safety.
  • Integrate with deep learning and data systems: Combine structured stats, tracking data, and video-derived features into AI-powered applications. Build APIs and UI layers that expose insights to coaches, teams, and partners.
  • Push the limits of applied AI: Explore how LLMs, retrieval, and deterministic logic can create novel sports analytics tools. Use AI internally to accelerate development (code generation, testing, debugging).

Qualifications:
  • 5+ years of experience as a Software Engineer, ML Engineer, or AI Developer.
  • Proficiency in Python and TypeScript/JavaScript (Node.js or React).
  • Hands-on experience with LLM frameworks (LangChain, LlamaIndex, Semantic Kernel, Haystack).
  • Strong understanding of prompt engineering, retrieval-augmented generation, and evaluation workflows.
  • Ability to design robust backend systems integrating APIs, vector databases, and orchestration layers.
  • Curiosity and creativity to turn ambiguous problems into structured, production-quality systems.

Nice to Have:
  • Familiarity with vector databases (Pinecone, Weaviate, Qdrant) and observability tools (Langfuse, Arize Phoenix, Promptfoo).
  • Experience building multi-agent workflows or LLM tool-use systems.
  • Understanding of sports data - especially football (tracking data, player metrics, game logs).
  • Experience deploying on Vercel, AWS, or GCP with modern CI/CD.
  • Comfortable working in a pod-based, cross-functional environment with designers, PMs, and AI researchers.

Benefits:
  • Competitive Salary and Bonus Plan
  • Comprehensive health insurance plan
  • Retirement savings plan (401k) with company match
  • Remote working environment
  • A flexible, unlimited time off policy
  • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl

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