Senior Data Scientist

📋 Description

• Develop data-driven algorithms using raw, noisy, and unlabeled data to improve browser and device
• Design and implement supervised, semi-supervised, and unsupervised machine learning approaches
• Own data science initiatives end to end, from problem definition and experimentation through
• Design experiments and technical solutions for real-time inference, model-to-service integration
• Conduct exploratory data analysis to investigate business and technical questions, identify
• Develop practical approaches for collecting and evaluating data when labeled datasets are limited

🎯 Requirements

• 5+ years of professional experience spanning machine learning, data science, and backend
• Advanced knowledge of machine learning fundamentals and statistical methodologies.
• Strong practical experience with supervised learning, including gradient boosting and approaches
• Hands-on experience with semi-supervised and unsupervised learning techniques.
• Strong exploratory data analysis and creative problem-solving skills, particularly when working
• Proven experience developing real-time machine learning services, including model inference and

🎁 Benefits

• Competitive compensation, with the source role indicating a US cash compensation range of
• Fully remote working environment.
• Opportunity to work on challenging machine learning problems involving real-time systems
• Exposure to modern machine learning, data engineering, backend development, and cloud
• Opportunity to contribute to technical strategy and influence engineering and data science
• Collaboration with a globally distributed team.