Senior Data Scientist, Zwift

• We are seeking an exceptionally talented and innovative Data Scientist with a strong background in signal processing, physiological data analysis, and machine learning and an interest in fitness
• Education: Bachelor's or Master's degree, or equivalent experience, in an applied field such as Engineering, Applied Physics, Applied Data Science or related topics, with specialisations such as Sports Analytics as a bonus
• Experience: 3+ years of experience in a Data Science role, with a strong preference for experience in biomechanics, wearables, health & wellness, or fitness sectors
• Programming Skills: Proficient in Python and SQL for data manipulation, analysis, and model development
• Statistical Modeling & Machine Learning: Strong understanding and practical experience with various statistical techniques and machine learning algorithms (e.g., regression, classification, clustering, time series analysis, recommendation systems)
• Experimentation Design: Solid understanding of experimental design principles (A/B testing, multivariate testing), test sample sizes and statistical inference
• Data Visualization: Experience with data visualization tools (e.g., Tableau, Looker, Matplotlib, Seaborn) to create clear and actionable insights
• Excellent self-directed, analytical and problem-solving skills with a curious mindset and a passion for extracting insights from complex datasets
• Communication: Strong verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders

Desirable

• In this pivotal role, you will collaborate on the development of products and features which will grow Zwift’s business
• Collaborate on the development, training, and evaluation of sophisticated AI/ML models (e.g., deep learning, time-series models, other modeling techniques) with a solid understanding of different signal processing techniques, to predict, classify, and quantify fitness parameters
• Work with complex physiological datasets, understanding the nuances of human performance, fitness levels and associated measurement data relationships
• Design and execute data collection experiments to gather data for model training and validation, and to evaluate changes and new features. often involving human subjects research
• Identify, diagnose/understand, AI/ML model performance, robustness and accuracy issues against established physiological benchmarks and real-world performance, and collaborate to make improvements
• Deep dive into user data to understand how users interact with the application, identify key engagement drivers, and pinpoint areas for improvement
• Evaluate different ML tools to understand relative technical advantages and disadvantages and provide clear informed recommendations to management
• Collaborate cross-functionally with Product, Engineering, Marketing, and Design teams to define problems, develop data-driven solutions, and ensure insights are integrated into product development cycles

• Your resume/CV is enough to show off your skills, accomplishments, and experience. However, if you choose to include a cover letter introducing us to your awesome personality, we will read that too