Data Scientist | Remote

Things to know before applying:

• You must have your own work equipment
• You are able to work remotely
• You can work full-time for this role
• Experience working with clients/companies outside PH is an advantage
• Only candidates who meet the requirements will be contacted
• You can start ASAP

Role Summary:

We are seeking a Data Scientist to support a 6-month engagement, focused on real-time football video analysis. You will be working on a compelling project that involves analysing live football game video streams to recognise players and detect on-field events as they happen — such as ball kicks, goals scored, and other key match moments. The ideal candidate brings hands-on experience in computer vision on AWS and a strong interest or background in sports.

Key Responsibilities:

• Build and deploy real-time computer vision models to analyse live football video streams
• Develop player recognition and object detection pipelines to identify players and track ball movement on the field
• Detect and classify on-field events in real time (e.g. ball kicks, goals, fouls)
• Optimise models for low-latency, high-accuracy performance on streaming video
• Collaborate with stakeholders to understand requirements and translate them into data-driven solutions
• Manage and process large video datasets, ensuring data quality and integrity throughout the pipeline
• Communicate findings and model outputs clearly to technical and non-technical audiences
• Contribute to the continuous improvement of data science workflows and best practices

Qualifications:

• 3–5 years of hands-on experience in a Data Scientist role
• Demonstrated experience in computer vision (e.g. object detection, image classification, video analysis)
• Strong foundation in machine learning, statistical modelling, and data analysis
• Experience with real-time or streaming video processing is a strong advantage
• Strong foundation in machine learning, statistical modelling, and data analysis
• Interest in or prior experience within the sports or gambling industry is a strong advantage

Tech Stack Requirements:

Core Languages & Environment:

• Python
• Jupyter

Data & ML Libraries:

• NumPy, Pandas
• PyTorch
• TensorFlow/Keras
• Scikit-learn

Cloud & Infrastructure:

• AWS SageMaker

Computer Vision Libraries:

• YOLO (v5/v7/v8/v11)
• Detectron2
• MMDetection
• OpenCV
• TensorRT
• DeepStream (for streaming video)

Hiring Process:

• Phone screening

• Technical Test

• Behavioral Interview

• Client Interview

About Adaca:

Adaca is at the forefront of bridging software development solutions by connecting Australian mid-tier companies with top-tier talents in the Philippines. Our unique approach is rooted in creating an employee-centric experience that fosters a simple, low-pressure environment for our developers. This philosophy not only enhances productivity but also delivers unparalleled value to our clients, fostering a cycle of growth and talent attraction.