Senior Data Scientist / Machine Learning Engineer

Data Scientist / ML Engineer Who We Are In 2021, Poatek was acquired by WillowTree, an award-winning digital product consultancy recognized as one of the fastest growing and best places to work in the United States.

Now a TELUS Digital company, with offices across the globe, we continue to partner with the world’s leading brands, such as the FOX, Capital One, HBO, PepsiCo, Domino’s and more, to design, build, and transform their digital products and strategies.

We’re looking to grow our Poatek offices in Brazil with top talent excited to collaborate with team members across the globe to deliver innovative solutions for our clients.

Location and Flexibility This is a hybrid role.

This model requires the ability to work in a hybrid mode from one of our offices in São Paulo (2 times/ week or 8 days/ month) or Porto Alegre (3 times/ week or 12 days/ month).

Our WFN culture is designed to foster in-person innovation, collaboration, and connection with team members local and visiting from other global offices.

The Opportunity As a Data Scientist / Machine Learning Engineer on our team, you'll design, develop, and deliver machine learning solutions, decipher loosely defined problems using complex datasets, and determine appropriate analytical and modeling techniques.

You'll analyze structured and unstructured data, establish automated processes for large-scale modeling, perform exploratory analysis, and collaborate with peers on data acquisition and exploration, demonstrating a strong sense of ownership and urgency.

Responsibilities • Work on all aspects of the design, development and delivery of machine learning enabled solutions for our clients;

Qualifications • Relevant experience in data science/ machine learning development

We are committed to building an inclusive team that represents a variety of backgrounds, perspectives, beliefs, and experiences.

Therefore we provide equal employment opportunities to all employees and applicants regardless of race, color, religion, gender identity, sexual orientation, national origin, age, or disability.

We will only use the information you provide to process your application and to produce tracking statistics.

Since we do not request personal data deemed sensitive, we ask you to abstain from sharing those information with us.

For more information on how we use your information, see our Privacy Policy.