AI SCORE 8.5

Data Scientist - Sports Modeling (Relocation to Costa Rica)

$90K–$120K/year
RemoteiGamingRelocation

About the Role

We are looking for a skilled Data Scientist - Sports Modeling to help our client build cutting-edge models in the sports betting industry. This Data Scientist remote position sits at the crossroads of machine learning, software engineering, data science, and mathematics—perfect for someone who thrives on innovation and complex challenges.

What You'll Do

  • Develop, structure, and maintain robust datasets tailored for machine learning workflows.
  • Create and deploy high-performance algorithms and predictive models to support our sports modeling initiatives.
  • Collaborate with a team of data scientists, developers, and domain experts to solve real-world problems and optimize outcomes.
  • Utilize machine learning techniques, particularly neural networks, to enhance predictive capabilities.
  • Engage in data preparation, including feature engineering and transformation.

Requirements

  • Proven experience working with machine learning techniques, particularly neural networks.
  • Strong background in Python programming (Matlab is a plus).
  • Professional fluency in English, both written and spoken.
  • A passion for building smart, scalable tools that make an impact.
  • Experience in the iGaming industry (B2B / B2C) - particularly in sports modeling.

Nice to Have

  • Experience with cloud platforms like AWS or Azure.
  • Familiarity with data visualization tools such as Tableau or Power BI.
  • Knowledge of statistical analysis and predictive modeling.

What We Offer

  • A key role in a company that’s pushing the boundaries of innovation in sports modeling and AI.
  • A vibrant, team-oriented culture where ideas are welcomed and collaboration is valued.
  • Competitive salary package.
  • Opportunities for professional development and continuous learning.
  • Access to private medical care via the company doctor.

If you're ready to make a real impact with your data science skills, we’d love to hear from you! Please share your CV in English.

Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Data Scientist role offers a unique opportunity to work in the innovative sports modeling sector with relocation support to Costa Rica. Enjoy a vibrant team culture and competitive salary.

Salary Range
Required
0/1
Optional
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Bonus
0/1

About Exacta Solutions Ltd

Discover exciting career opportunities at Exacta Solutions Ltd in 2026. Explore a range of remote, hybrid, and office roles tailored to your skills. Utilize our advanced filters to find the perfect match, track your applications, and gain valuable insights into the company. Start your journey toward a fulfilling career with Exacta Solutions Ltd today and unlock your potential in a dynamic work environment.

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in Python with a strong grasp of libraries such as Pandas, NumPy, and Scikit-learn for data manipulation and machine learning model development.

Self-motivated and comfortable working remotely, capable of managing time effectively while collaborating with cross-functional teams to drive innovative sports modeling solutions.

Experience with neural networks and feature engineering, demonstrating a strong analytical mindset and problem-solving skills, essential for tackling complex data challenges in the sports betting industry.

Learning Resources

Python for Data Science Handbookguide

Career Path

Data Scientist - Sports Modeling(Now)Senior Data Scientist - Sports Analytics(1-2 years)Lead Data Scientist - Sports Modeling(3-5 years)

Market Overview

Market Size 2024
$50B
Annual Growth
22.3%
AI Adoption
75%
Investment
+150%
Labour Demand
+30%
Avg Salary
$120K

Skills & Requirements

Required
PythonMachine LearningNeural Networks
Growing in Demand
Deep LearningNatural Language ProcessingData Visualization
Declining
R ProgrammingExcel Statistical Analysis

Domain Trends

Increased Use of Predictive Analytics
Sports organizations are increasingly adopting predictive analytics, with a reported 60% of teams using data-driven insights to improve player performance and fan engagement.
Integration of Real-Time Data
The demand for real-time data processing in sports modeling has surged, with a 45% increase in projects focused on live data analysis for in-game decision-making.
Growth of AI-Driven Sports Insights
AI-driven insights are transforming sports strategies, with investments in AI technologies in sports expected to reach $10B by 2025, representing a 200% increase from 2023.

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