Senior Data Scientist | BEES Personalization

Demonstrated success applying machine learning and statistical modeling techniques in production environments to drive measurable business impact.

Experience working with cloud platforms such as Azure, Databricks, and Spark for big data processing and analysis.

Proficiency in Python/PySpark for data manipulation, analysis, and modeling tasks.

Good knowledge of CI/CD tools like Github for version control and collaboration.

Familiarity with other collaboration tools is a plus.

Understanding of workflows and automation tools to streamline processes and enhance efficiency.

Performance based bonus*

Attendance Bonus*

Private pension plan

Meal Allowance

Casual office and dress code

Days off*

Collaborate on the design

of complex analysis of datasets and the development and deployment of advanced machine learning and deep learning algorithms for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insight discovery.

Ensure that solutions are robust, scalable, and aligned with business objectives while mentoring junior and mid-level data scientists.

the machine learning and deep learning update on advancements, continuously incorporating cutting-edge techniques to solve complex business problems.

Champion the adoption of frontier algorithms to drive innovation and technical excellence across the team’s initiatives.

large-scale data processing workflows on cloud platforms such as Azure, Databricks, and Spark, ensuring performance and scalability.

BEES, our ambition is – and always will be – to put customers at the heart of everything we do. Making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers and the companies that service them, unlocking new growth opportunities for all. With offices in São Paulo and Campinas, we encourage our team to participate in major events and significant meetings throughout the year.

The Team: BEES is the team driving AI strategy at BEES by building end-to-end products to serve our teams, customers, and partners across the globe. The organization is a cross-functional blend of AI/ML teams from Applied Research and Machine Learning Engineering to Machine Learning Platform Product Management. Together, the team is responsible for building the tools and products needed to deliver world-class AI/ML capabilities

As a member of BEES Applied Science team, you will develop solutions for challenging business problems in areas such as portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery. The ideal candidate should hold a bachelor's degree in any quantitative field; strong mastery of frontier algorithms in machine and deep learning; plus working knowledge of cloud platforms (Azure, Databricks) for ML applications. Proficiency in python / pyspark programming, collaboration tools, and working knowledge of CI/CD tools like GitHub is required. Knowledge of workflows for automation is also required.