Remote Sports Data Scientist

Placements24; Benoni; Hybrid; ZAR 1,477,000 - 2,133,000; Full time

Benefits offered by this job

Fully remote

Competitive salary

Flexible hours

Professional development

Job summary

Placements24 is seeking a highly skilled Remote Sports Data Scientist to analyze diverse sports datasets, build predictive models, and deliver actionable insights that shape athletic performance strategies. You will work with data engineers and sports experts to translate complex data into clear narratives.

The role emphasizes advanced statistical methods, machine learning techniques, and rigorous experimental design, with seamless collaboration across teams in a fully remote setup.

Qualifications

• Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Proven experience as a Data Scientist with a portfolio of analytical projects, preferably in sports.
• Proficiency in Python or R and libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Expertise in statistical modeling and ML techniques, experimental design.

Responsibilities

• Develop and implement statistical models and ML algorithms to analyze sports data.
• Collect, clean, and preprocess large datasets from various sports sources.
• Identify KPIs and patterns that drive success in sports.
• Build predictive models for player performance, game outcomes, and injury risk.
• Visualize data and communicate findings to technical and non-technical stakeholders.
• Collaborate with domain experts to understand analytics needs.
• Design and conduct A/B tests and experiments to evaluate interventions.
• Stay current with advancements in data science and sports analytics.
• Contribute to development of internal tools and platforms for data analysis.

Skills

Python

R

Statistical modeling

ML algorithms

SQL

Data visualization

Experiment design

Communication

Education

Master's or PhD in Data Science / Statistics / Computer Science

Tools

Tableau

Power BI

TensorFlow

PyTorch

Job description

About the Role

Our client, a leading innovator in sports analytics, is seeking a highly skilled and motivated Remote Sports Data Scientist. This role is fully remote, offering the flexibility to work from anywhere while contributing to cutting-edge projects that redefine sports performance and strategy. You will be responsible for collecting, processing, and analyzing vast datasets from various sports to uncover actionable insights, build predictive models, and drive data-informed decision-making across athletic organizations. This is an unparalleled opportunity for a data enthusiast with a passion for sports to leverage advanced statistical and machine learning techniques. You will collaborate with a team of data scientists, engineers, and sports domain experts to tackle challenging problems and develop innovative solutions. We are looking for an individual who can translate complex data into clear, compelling narratives that influence strategy and performance. The ideal candidate possesses strong programming skills, a deep understanding of statistical modeling, and a genuine curiosity about the application of data science in the realm of athletics. The role demands a proactive approach to problem-solving and a commitment to continuous learning in a rapidly evolving field. Your insights will be critical in shaping the future of sports performance for clients worldwide, from your home base.

Key Responsibilities

• Develop and implement statistical models and machine learning algorithms to analyze sports data.
• Collect, clean, and preprocess large and complex datasets from various sports sources.
• Identify key performance indicators (KPIs) and patterns that drive success in sports.
• Build predictive models for player performance, game outcomes, and injury risk.
• Visualize data and communicate findings effectively to both technical and non-technical stakeholders.
• Collaborate with domain experts to understand specific analytical needs and challenges.
• Design and conduct A/B tests and other experiments to evaluate interventions.
• Stay current with the latest advancements in data science, machine learning, and sports analytics.
• Contribute to the development of internal tools and platforms for data analysis.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Proven experience as a Data Scientist, with a strong portfolio of analytical projects, preferably in the sports domain.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Expertise in statistical modeling, machine learning techniques, and experimental design.
• Experience with database management (SQL) and data visualization tools (e.g., Tableau, Power BI).
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills, with the ability to explain complex technical concepts clearly.
• Ability to work independently and manage projects effectively in a remote environment.
• A deep passion for sports and a keen understanding of sports analytics principles.

Benefits

This fully remote position offers a highly competitive salary, excellent benefits, and the unique opportunity to work on impactful projects at the intersection of data science and sports. You will have the autonomy to manage your workflow and contribute to groundbreaking advancements in athletic performance analysis. Join a team of forward-thinking professionals and shape the future of sports intelligence from anywhere in the world. This role is perfect for a data-driven innovator looking to make a significant impact in the sports industry, contributing their expertise remotely.