Remote Sports Data Scientist

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 1,916,000 - 2,874,000; Full time

Benefits offered by this job

Fully remote work opportunity

Bonus structure

Job summary

Placements24 is seeking a highly skilled Remote Sports Data Scientist to leverage analytics and ML to uncover insights within sports data, impacting team performance and player evaluation. This remote role involves collaboration with coaches, analysts, and management to translate complex datasets into actionable intelligence, with access to cutting-edge tools and opportunities for professional growth.

Experience in Python/R and ML libraries is essential, as is the drive to stay at the forefront

Qualifications

• Master’s or Ph.D. in Data Science, Statistics, CS, Mathematics or related field.
• Minimum of 5 years in data science or advanced analytics, with sports analytics focus.
• Proficiency in Python or R and libraries such as Pandas, Scikit-learn, TensorFlow.
• Strong background in statistical modeling, ML techniques, and data mining.
• Experience with SQL/NoSQL databases and data visualization tools (Tableau/Power BI).

Responsibilities

• Develop and implement statistical models and ML algorithms on sports data.
• Clean, transform, and integrate large datasets from multiple sources.
• Identify trends, patterns and predictive insights about players and teams.
• Collaborate with stakeholders to define analytical questions and deliver recommendations.
• Develop dashboards and visualizations to communicate findings to technical and non-technical audiences.
• Stay updated on advances in data science and sports analytics.

Skills

Python

R

Statistical modeling

Machine learning

Data mining

Education

Master’s or Ph.D. in Data Science/Statistics/CS/Mathematics

Tools

Pandas

Scikit-learn

TensorFlow

SQL/NoSQL

Tableau

Power BI

Job description

About the Role

Our client is seeking a highly skilled Remote Sports Data Scientist to leverage advanced analytics and machine learning to uncover insights within sports data. This role is crucial for enhancing team performance, strategy development, and player evaluation for various sports initiatives. You will work remotely, collaborating with coaches, analysts, and management to translate complex data into actionable intelligence. This position offers a unique opportunity to impact decision‑making at the highest levels of the Leisure & Sports industry, working with sophisticated datasets and cutting‑edge analytical methodologies.

Key Responsibilities

• Develop and implement statistical models and machine learning algorithms to analyze sports performance data.
• Extract, clean, and transform large datasets from various sources, ensuring data integrity and accuracy.
• Identify key trends, patterns, and predictive insights related to player performance, game strategy, and team dynamics.
• Collaborate with stakeholders to define analytical questions and deliver data‑driven recommendations.
• Develop dashboards and visualizations to communicate complex findings effectively to technical and non‑technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and sports analytics.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in data science or advanced analytics, with a significant focus on sports analytics or related domains.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, Scikit‑learn, TensorFlow).
• Strong understanding of statistical modeling, machine learning techniques, and data mining.
• Experience with database technologies (SQL/NoSQL) and data visualization tools (e.g., Tableau, Power BI).
• Excellent problem-solving skills and the ability to work independently in a remote environment.

Benefits

• Highly competitive salary and bonus structure.
• Fully remote work opportunity, providing ultimate flexibility.
• Access to cutting‑edge data and analytical tools.
• Opportunities for professional growth and continuing education in data science.
• Contribute to data‑driven innovation in the Leisure & Sports sector.