Data Scientist

Posted 4 Days Ago
Be an Early Applicant
Colombia
Entry level
Information Technology • Consulting
The Role
As a Data Scientist at Wizeline, you will be responsible for optimization in data science, proficiently applying MLOps culture, and specializing in recommended systems and graphs, along with image recognition capabilities. Excellent communication skills and a proactive approach are essential for success in this role.
Summary Generated by Built In

The Company

Wizeline is a global digital services company helping mid-size to Fortune 500 companies build, scale, and deliver high-quality digital products and services.  We thrive in solving our customer’s challenges through human-centered experiences, digital core modernization, and intelligence everywhere (AI/ML and data). We help them succeed in building digital capabilities that bring technology to the core of their business.

Are You a Fit?

To be successful in this role, you need:

  • Optimization in Data Science.
  • Proficient MLOps culture experience and application.
  • Supply Chain.
  • Data Scientists specialists in Recommended Systems and Graphs.
  • Image recognition.
  • Very good communication skills and proactive.
  • English Proficiency.

About us  

Wizeline prioritizes a culture of diversity and development for its nearly 2,000 person team spread across the globe. We believe great technology comes from a mix of talents and perspectives. Our core values of ownership, innovation, community, and inclusivity are central to our work. Wizeline is invested in its employees' growth, offering opportunities to create personalized career paths and develop in-demand skills. We even have a free education program, Wizeline Academy, to help both employees and the broader community upskill in tech.

Apply now! 

Top Skills

Data Science
Mlops
The Company
1,444 Employees
On-site Workplace
Year Founded: 2014

What We Do

Wizeline, a global technology services provider, builds the best digital products and platforms at scale. We focus on measurable outcomes, partnering with our customers to modernize core technologies, mature data-driven capabilities, and improve user experience.

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