Senior Data Scientist
Há 4 dias
Hi there Thanks for your curiosity.
We are looking for a Senior Data Scientist to join our ML-focused Data Science team. This role does not involve dashboards and short-term analyses but rather focuses on researching and applying the best machine learning models to the problems our products face today.
Who We Are
Retailers all over Latin America spend billions of dollars each year to send thousands of workers to complete tasks like delivering e-commerce orders, stocking shelves, and building displays. Our tech provides these retailers with the manpower for all the above via a smart, gig platform.
We are backed by top VCs in San Francisco, Mexico City, and Boston. This is a rare opportunity to build in the Latin American market with a well-funded tech startup experiencing exponential growth.
What You Will Do
- Build statistical, optimization, and machine learning models to balance a marketplace of Zubaleros, end-users, and clients.
- Partner with Data Science, Analytics, Product, and Engineering teams to deliver ML solutions that are appropriately scoped, implemented, and scaled.
- Contribute to the team spirit of always learning, teaching one another, and growing.
- Make solutions that directly impact the tens of thousands of Zubaleros that use our app to make money every day
Skills Required
- Bachelor’s or higher in Computer Science, Engineering, Mathematics, or a related field.
- 5+ years of experience in modeling and deploying machine learning solutions in Python.
- Demonstrated knowledge of the following domains: classification, regression, clustering, reinforcement learning, computer vision, and time series modeling, including some knowledge of the concepts of taking projects to scale in the cloud.
- Ability to communicate in business and technical settings. We need to be able to build models and explain to others how and why they work.
- An interest in the Latin American market.
- The role can be remote, but working hours are generally in the Americas time zones.
- Fluency in English (required) and Spanish (preferred but not required).
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