Remote Sports Data Scientist

Placements24; East London; Hybrid; ZAR 800.000 - 1.400.000; Vollzeit

Benefits dieser Stelle

Fully remote work arrangement

Competitive salary + bonus

Stock options / equity

Health, dental, vision insurance

Home office stipend

Professional development

Projects with leading sports orgs

Unlimited PTO

Retirement plan

Zusammenfassung

Placements24 is seeking a remote Sports Data Scientist for a cutting-edge sports technology company. You will develop predictive models, analyze datasets from players, games, and scouting data, and deliver insights to drive strategy for teams and athletes.

You will collaborate with coaches, analysts, and tech leads, build data pipelines, and present findings through dashboards. A strong background in statistics, ML, and data mining, plus 5+ years in sports analytics, is required; this is a fully

Qualifikationen

• Master's or PhD in Data Science, CS, Statistics, Mathematics, or related field.
• Minimum of 5 years of professional experience as a Data Scientist, with focus on sports analytics.
• Proficiency in Python or R with related libraries.
• Experience with SQL/NoSQL and data warehousing concepts.

Aufgaben

• Develop, implement, and validate ML models for player performance and injury risk.
• Analyze large datasets from wearables, video, and game stats.
• Design experiments to test hypotheses and derive insights.
• Collaborate with coaches, analysts, scouts to translate needs.
• Build robust data pipelines and ETL processes.
• Communicate findings via reports, dashboards, presentations.
• Stay current with advancements in data science and sports analytics.
• Maintain codebases for analysis and deployment; ensure reproducibility.
• Mentor junior data scientists and promote data-driven culture.
• Contribute to data-driven products and platforms.

Kenntnisse

Python

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

SQL

NoSQL

Statistical modeling

Machine learning

Data mining

Big data

Data visualization

Communication

Remote work

Ausbildung

Master's degree in Data Science or related field

PhD in related quantitative field

Tools

Spark

Hadoop

Git

Docker

Jobbeschreibung

About the Role

Our client, a cutting-edge sports technology company at the forefront of analytics and performance optimization, is seeking a highly skilled Remote Sports Data Scientist to join their innovative team. This is a fully remote position, allowing you to leverage your expertise from anywhere. You will be instrumental in developing advanced predictive models, analyzing vast datasets from player performance, game statistics, and scouting information to uncover insights that drive strategic decisions for professional sports teams and athletes. This role demands a strong background in statistical modeling, machine learning, data mining, and a profound understanding of the nuances of sports. You will collaborate closely with performance analysts, coaches, and technical leads to translate complex data into actionable intelligence, enhancing player development, game strategy, and operational efficiency. The ideal candidate is passionate about sports and possesses exceptional analytical and problem-solving skills.

Key Responsibilities

• Develop, implement, and validate machine learning models for player performance prediction, injury risk assessment, and talent identification.
• Analyze large, complex datasets from various sports sources, including wearable devices, video analysis, and game statistics.
• Design and conduct experiments to test hypotheses and derive actionable insights related to player and team performance.
• Collaborate with domain experts (coaches, analysts, scouts) to understand their data needs and translate them into analytical solutions.
• Build robust data pipelines and ETL processes to ensure data quality and accessibility.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders through reports, dashboards, and presentations.
• Stay current with the latest advancements in data science, machine learning, and sports analytics research.
• Develop and maintain codebases for data analysis and model deployment, ensuring reproducibility and scalability.
• Contribute to the development of data-driven products and platforms for the sports industry.
• Mentor junior data scientists and contribute to a culture of data-driven decision-making.

Requirements

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of professional experience as a Data Scientist, with a significant portion focused on sports analytics.
• Proficiency in programming languages commonly used in data science, such as Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch) or R.
• Strong experience with database technologies (SQL, NoSQL) and data warehousing concepts.
• Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Self-directed and able to work effectively independently in a remote setting.
• A deep passion for sports and a solid understanding of sports performance metrics and data.

Benefits

• Fully remote work arrangement with flexible hours.
• Highly competitive salary and bonus structure.
• Stock options or equity in a growing tech company.
• Comprehensive health, dental, and vision insurance.
• Generous allowance for home office setup and professional development.
• Opportunity to work on challenging projects with leading sports organizations.
• Collaborative and innovative team environment.
• Unlimited paid time off.
• Contribution to retirement fund.