Data Scientist

Reposted 17 Days Ago
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Hiring Remotely in Base Azopardo, Buenos Aires
Remote
Junior
Information Technology • Consulting
The Role
The Data Scientist will develop machine learning models, work with SQL and Python, and analyze data to optimize ad delivery platforms.
Summary Generated by Built In

Data Scientist 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?

Sounds awesome, right? Now, let’s make sure you’re a good fit for the role.

Must-have Skills

  • Python
  • SQL
  • Looker Studio or Tableau
  • Machine learning models for optimization and recommendation systems
  • Experience working with ad delivery platforms and understanding ad execution workflows
  • Programmatic advertising and real-time bidding

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

Looker Studio
Machine Learning
Programmatic Advertising
Python
Real-Time Bidding
SQL
Tableau
Am I A Good Fit?
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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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