Cientista de Dados

Hello, we are Randstad Brasil, a global leader in comprehensive Human Resources solutions. Our specialized expertise drives talents to stay relevant in the job market, offering opportunities in various areas — administrative, operational, executive, and technology — and in different work formats. Founded in 1960, in the Netherlands, today we are present in 39 countries, including Brazil.

We have an opening for a Data Scientist (100% remote) at one of our clients.

Responsibilities:

• Support exploratory data analysis and feature preparation using approved tools and platforms.
• Collect, integrate, clean, and organize data from different sources.
• Define and prepare datasets for training, validation, and testing of models.
• Develop, adapt, and validate machine learning models for sales forecasting and digital behavior.
• Perform advanced analysis of e-commerce and website data to identify trends and factors impacting performance.
• Evaluate model performance, proposing improvements and adjustments to ensure robustness and adherence to the operational context.
• Lead the implementation and monitoring of models in production, tracking performance, deviations, and improvement needs.
• Support the interpretation and communication of analytical insights and complex findings to stakeholders.
• Prepare analyses, visualizations, and technical reports to support decision-making.
• Assist in validating model results and assumptions in collaboration with business and technology teams.
• Collaborate with data engineers, process specialists, and business specialists to understand challenges, define strategies, and propose data-driven solutions.
• Promote best practices in the development, documentation, and reproducibility of data science solutions.
• Document developments and maintain technical documentation related to model performance and business rules.

Requirements:

• Proficiency in SQL and Python for statistical modeling and data manipulation, using established data science libraries (pandas, numpy, scikit-learn, matplotlib, among others).
• Practical experience with GCP (Google Cloud Platform) and BigQuery for large-scale data analysis.
• Experience and solid knowledge in statistics and main types of machine learning models and algorithms and time series (supervised, unsupervised, and reinforcement learning), working with different data types.
• Experience with time series, seasonality, feature engineering, and handling missing data.
• Strong knowledge of GA4 (Google Analytics 4) and e-commerce data structures.
• Knowledge of algorithms and data structures, as well as relational and non-relational databases.
• Experience in designing and implementing data models to optimize analytical performance.
• Strong analytical capacity and ability to translate numbers into stories and insights for technical and non-technical audiences.
• Advanced English level for interaction with technical and business teams outside Brazil.

Plus:

• Previous experience working specifically with Digital Marketing data and audience segmentation.
• Familiarity with Vertex AI and GenAI-assisted development workflows.
• Experience with Deep Learning models.
• Experience with automated testing frameworks (e.g., pytest) and data quality validation patterns.
• Practical knowledge of Agile/Scrum methodologies and project management tools, such as Jira and Confluence.