Establish data science guidelines, standards and best practices for project implementation by development teams.
Research advancements in machine learning techniques and disseminate knowledge internally.
Design and build scalable solutions for model training, deployment, monitoring and improvement.

Bachelor's degree in IT, Business Administration, Statistics, or related fields.
Technical knowledge of data infrastructures, Big Data and data visualization.
Experience executing Data Science, Machine Learning and/or Analytics projects.
Skilled in descriptive, predictive and prescriptive modeling, and in deep learning models and frameworks (e.g., TensorFlow, Keras, PyTorch, etc.).
Familiarity with deploying models to production and with testing methodologies for data products.
Leadership experience in implementing data products.
Preferred qualifications:
Experience with machine learning platforms (e.g., AWS, Azure, Google Cloud, etc.).
Knowledge of A/B testing and API design as a product or SDK development.
Contributions to relevant open-source projects.

Health insurance with special conditions for you and your dependents.
Telemedicine services covering various specialties, including telepsychology.
Dental plan.
Emotional well-being program.
Wellhub (network of gyms).
Life insurance.
Food allowance (meal voucher).
Meal voucher or on-site cafeteria.
Transportation voucher or shuttle service.
Profit sharing.
Private pension plan.
A Corporate University with abundant opportunities for professional development.
Extended maternity leave up to 180 days and paternity leave up to 20 days, also valid for adoptive parents and same-sex couples.
Discounts on our product portfolio.
A holiday gift kit at the end of each year to share joy with your loved ones.

Data Science Specialist

Key skills