Data Scientist / Senior Data Scientist Job Opportunity (Remote)

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Are you passionate about machine learning, sports, and real-time data? Kero Sports is hiring a Data Scientist / Senior Data Scientist to help build advanced sports betting technology. This remote role is a great opportunity for professionals who enjoy solving complex data problems and creating models that have a real business impact.

The company is looking for someone with strong experience in Python, machine learning, data science, and predictive modeling. The ideal candidate should understand sports data, probability, and how machine learning models can improve real-time decision-making.

Data Scientist remote job
Data Scientist remote job

Job Overview

Job TitleData Scientist / Senior Data Scientist
CompanyKero Sports
Work TypeFull Time
LocationRemote (Canada & United States)
Experience Required3+ years
Salary Range$100,000 – $160,000 per year
Equity0.5% – 1.0%
Visa SponsorshipNot Available
Relocation SupportNot Available
Skills RequiredPython, Machine Learning, Data Science, Computer Vision, Deep Learning, Robotics

About Kero Sports

Kero Sports Official Website builds real-time sports betting technology for sportsbook companies around the world.

The company uses live sports data and machine learning models to create in-game betting markets that update during live matches. Kero Sports works at the connection point of sports, artificial intelligence, probability, and real-time technology.

The company focuses on building systems that understand game situations and create useful betting products based on events happening during a match.

Company Highlights

  • Industry: Sports Technology, Machine Learning, Online Gaming
  • Company Size: 11–50 employees
  • Founded as a technology-driven sports company
  • Remote-first work environment
  • Raised funding: $8.5 million
  • Company locations: Miami and Toronto

About the Data Scientist / Senior Data Scientist Role

Kero Sports is searching for a skilled Data Scientist who can take ownership of important parts of its sports modeling systems.

This is not only a research role. The selected candidate will work on the complete journey of machine learning models, including data understanding, feature creation, model development, testing, improvement, and production use.

The person will help create models for live sports betting markets across different sports such as:

  • Football
  • Basketball
  • Baseball
  • Soccer
  • Hockey
  • Other team sports

The right candidate should enjoy working with real-world data, solving unclear problems, and building models that create measurable results.

Key Responsibilities

The Data Scientist / Senior Data Scientist will be responsible for:

Building Machine Learning Models

  • Create predictive models for live sports events
  • Design features using sports data
  • Develop testing methods to measure model quality
  • Improve model accuracy and reliability
  • Build systems that can support real-time betting products

Working With Sports Data

  • Analyze live play-by-play sports data
  • Check data quality and identify problems
  • Understand how game situations affect predictions
  • Improve models based on real match results

Supporting Production Systems

  • Work closely with engineers and product teams
  • Help move models from research into production
  • Review model performance after launch
  • Improve systems based on business needs

Skills and Experience Required

Kero Sports is looking for candidates who have:

Technical Skills

  • Strong Python programming knowledge
  • Experience with pandas, NumPy, scikit-learn, XGBoost, or similar tools
  • Knowledge of machine learning and statistics
  • Understanding of regression, classification, probability, and model testing
  • Experience working with large and messy datasets

Professional Skills

  • Ability to solve problems independently
  • Strong communication skills
  • Good documentation habits
  • Ability to explain technical ideas clearly
  • Interest in sports and data-driven decision-making

Preferred Experience

Candidates with the following experience will be preferred:

  • Sports betting or sportsbook technology
  • Odds prediction or pricing models
  • Trading or market-making systems
  • Real-time machine learning applications
  • MLOps and model deployment
  • Sports simulation models
  • Experience leading technical projects

What Makes This Role Special?

This role offers the chance to work on technology that combines:

  • Artificial intelligence
  • Sports analytics
  • Machine learning
  • Probability modeling
  • Real-time systems

You will have the opportunity to make important decisions and directly influence how Kero Sports builds its products.

The company values people who think carefully, take ownership, communicate clearly, and enjoy solving challenging problems.

Benefits of Working at Kero Sports

Employees can expect:

  • Fully remote work
  • Flexible working hours
  • Competitive salary package
  • Equity opportunity
  • Learning and self-improvement budget
  • Performance incentives
  • High ownership and direct impact

Who Should Apply?

This position is suitable for:

  • Data Scientists
  • Senior Data Scientists
  • Machine Learning Engineers
  • Quantitative Modelers
  • Sports Analytics Professionals
  • AI professionals interested in sports technology

If you enjoy building machine learning solutions and want to work in a fast-growing sports technology company, this opportunity may be a great fit.

How to Apply for Data Scientist / Senior Data Scientist Job at Kero Sports

Interested candidates can apply online through the official job application page.

Apply Now

Apply for Data Scientist / Senior Data Scientist at Kero Sports

Final Thoughts

Kero Sports is creating the future of live sports betting technology through data, machine learning, and real-time systems. This Data Scientist / Senior Data Scientist position provides an opportunity to work on meaningful projects while helping shape innovative sports products.

Professionals with experience in machine learning, Python, data science, and sports analytics should consider applying for this remote opportunity.

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