Senior Data Scientist leveraging computer vision and machine learning to support Quality Control at Walmart. Collaborating with engineering and business to deliver scalable data solutions.
About the role
- Data Scientist developing strategic data products for Luxclusif’s B2B luxury resale platform. Collaborating with R&D team and driving analytics to enhance competitiveness in the luxury market.
Responsibilities
- Collaboratively design, build, and maintain solutions within our platform using multiple tools applying statistical approaches and machine learning techniques.
- Working closely with our Engineers and Analysts in highly impactful and complex challenges. Design, Build and Expand our data products, taking them to the next level while using state-of-the-art technologies.
- Perform analysis and experiments that allow the team to identify opportunities and follow new implementations contributing directly to the evolution of our data products.
Requirements
- You have a degree in Mathematics, Computer Science, Machine Learning or equivalent specialized training/certification.
- You have at least 5 years of experience in the role or similar with proven experience on data science environments, building and architecture production-level data products.
- You’re capable to design, model, develop, test and maintain machine learning solutions and you have the experience to productize these solutions.
- You have experience in SQL and Python programming (familiar with TensorFlow and other machine learning libraries).
- You’ve a strong sense of the data lifecycle and you’re obsessed with data quality.
- Proactive mindset regarding AI tools and solutions with high impact for the business and productivity.
- You are problem solving oriented and you’re also comfortable speaking English.
- Experience with CI/CD tools and cloud environments.
Benefits
- Health insurance for the whole family, flexible working environment and well-being support and tools
- Extra days off, sabbatical program and days for you to give back for the community
- Training opportunities and free access to Udemy
- Flexible benefits program
Job title
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