About the role
Please submit your resume in English. Applications in other languages may not be considered. Bold Metrics is the leading fit and sizing solution on the market today for the world’s top retailers and brands. We are a venture-backed startup that is making a big impact on the environment, forever changing the landscape of eCommerce. We are a remote-first company that is full of inspiring and friendly people. We are currently searching for a Data Scientist to join our fast-growing team. This position is for someone located in Brazil and working remotely, however if you're located in São Paulo, you will be able to come into the office location as needed. In this position you will have the opportunity to work with some of our biggest projects within the retail industry. About You: You are a humble, passionate, and experienced engineer that is looking for a collaborative and analytical Data Scientist role to support the execution of our product deliveries and machine learning pipeline. This comprises validating the data flow from data sources, analyzing patterns and trends in the data, and facilitating machine learning updates to the system. As our Data Scientist, you are an extremely detail oriented, out-of-the-box problem solver with a commitment to doing high-quality work. You will work closely with the Engineering and Data Teams, alongside Customer Success teams to support the flow of data collection and machine learning initiatives to ultimately drive customer success. How You Will Make an Impact: Lead strategic decision-making for user growth and product innovation by utilizing the full range of data science tools, including analytics, experimentation, forecasting, and machine learning, to enhance the entire consumer experience. Develop and deploy machine learning models and causal inference techniques at scale, from concept to measurable business impact. Design and oversee experiments and analyses to evaluate product performance and drive continuous improvements. Build and maintain automated, scalable data pipelines to support reporting, data visualization, analytics, and machine learning for internal products and solutions. Lead the design and management of comprehensive machine learning platforms, ensuring robust model development and deployment processes. Skills and