Do you want to work for a venture-backed startup that is making a big impact on the environment? A startup that’s forever changing the landscape of eCommerce? One that is remote-first & full of awesome, friendly people? Great! We would love to have you join our team.
We are currently searching for a
Data Scientist
to join our fast-growing team. This position is for someone located in São Paulo, Brazil who is able to come into the office in-person at least three days a week. 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 excited to write code but is also comfortable working with sales, accounts, and other engineers. You have a positive outlook and are interested in working in a highly collaborative work environment.
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 Qualifications
: (even if you do not meet these skills 100%, we still welcome you to apply)
- Over 3 years of hands-on experience in Data Science, Machine Learning, and Deep Learning.
- +4 years of proficiency in Python and SQL.
- Practical expertise in A/B testing and causal inference.
- Extensive experience with AWS cloud technologies.
- Proficient in MLOps practices, including model deployment and monitoring.
- Experience with Docker for containerization and Git for version control.
- Bachelor’s degree in Computer Science or a related field
About Us:
BoldMetrics, founded in 2017, is a SaaS solution for retailers and brands to reduce returns, improve sustainability and supercharge their supply chain from the ground up. Using a comprehensive set of machine learning and AI technologies to accurately predict customer body measurements, we help apparel brands unlock the power of body data to meet the demands of today's increasingly personalized world.Learn more about us at boldmetrics.comWe are an
equal opportunity employer
committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability. © 2022 Bold Metrics, Inc.
