Data Scientist

SUMMARY:
Turn sports data into winning strategies with advanced algorithms and machine learning

POSITION INFO:

• • Data Scientist

    Turn sports data into winning strategies with advanced algorithms and machine learning
    Cape Town | R1 200 000 - R1 300 000 per annum | 08:00am 17:00pm

    About Our Client
    Our client is an innovative sports technology company pushing the boundaries of performance analytics. By combining cutting-edge data science with elite-level sports expertise, they provide actionable insights that empower coaches, players, and broadcasters. The team is driven by a passion for precision, innovation, and unlocking new competitive advantages through data.

    The Role: Data Scientist
    As a Data Scientist, you will be responsible for designing, developing, and evaluating advanced algorithms and models that transform raw sensor data into meaningful insights. This role involves close collaboration with engineers and sports scientists to support predictive analytics that inform strategies in elite sports.

    Key Responsibilities

    • Design, develop, and evaluate signal processing algorithms to deliver insights for players, coaches, and broadcasters

    • Build and refine algorithms under the guidance of senior team members

    • Develop and maintain documentation of the data science architecture and algorithms

    • Partner with sports scientists to collect and validate sensor data

    • Develop and train machine learning models to provide predictive insights into team strategies

    About You

    • BEng/BSc or higher in Electronic Engineering, Mathematics, or Computer Science

    • Strong knowledge of signal processing concepts (filtering, Nyquist frequencies, time-frequency transformations)

    • Understanding of algorithm performance evaluation techniques (e.g., receiver-operating-curves)

    • Experience with machine learning algorithms (regression, decision trees, SVMs, neural networks)

    • Proficiency in Python, MATLAB, Octave, or R for data analysis and simulations

    • Excellent time management and attention to detail

    • Hands-on, technically curious, and an effective communicator

    • Strong interest in sports trends and analytics