Cientista de Dados Especialista II - Mensuração (Diretoria de Dados - Gestão do Portfólio)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cientista de Dados Especialista II - Mensuração (Diretoria de Dados - Gestão do Portfólio) based in Brazil.

This is an exciting opportunity for an experienced data scientist to shape strategic decision-making through advanced measurement and experimentation frameworks. The role focuses on developing descriptive, predictive, and prescriptive analytics solutions that optimize portfolio performance and business outcomes. You will work in a highly collaborative and data-driven environment, partnering with cross-functional teams to design experiments, build scalable models, and generate actionable insights. With strong exposure to portfolio management, advanced statistical methodologies, and AI-driven solutions, this position offers the chance to influence high-impact initiatives and drive innovation through data science excellence

• Design, execute, monitor, and measure complex A/B tests and business experiments, ensuring statistical rigor and reliable decision-making.
• Develop and monitor sales performance indicators and analytical solutions aimed at improving portfolio profitability and optimization.
• Build descriptive, predictive, and prescriptive data science models to support resource allocation, process optimization, and strategic portfolio decisions.
• Lead end-to-end data science initiatives, including business understanding, feature engineering, modeling, validation, deployment support, and impact measurement.
• Apply causal inference methodologies to accurately estimate the incremental impact of business initiatives and avoid analytical biases.
• Collaborate closely with business stakeholders to define requirements, translate business challenges into analytical solutions, and monitor model performance.
• Contribute to the evolution of data products and measurement frameworks that support portfolio health and performance management.
• Promote best practices in experimentation, analytics, and data-driven decision-making across multidisciplinary teams.

Requirements:

• Strong proficiency in Python for data analysis and SQL for data manipulation and querying.
• Advanced knowledge of statistics, including hypothesis testing, probability distributions, sample size calculations, statistical significance, and experimental design.
• Hands-on expertise with causal inference techniques such as Synthetic Controls, Difference-in-Differences, and other methodologies for impact measurement.
• Solid experience designing and implementing A/B testing frameworks and experimentation methodologies.
• Proven experience developing, evaluating, and interpreting machine learning models and performance metrics.
• Strong analytical, critical thinking, and problem-solving skills with the ability to independently lead complex projects.
• Experience with version control tools such as Git and cloud environments, particularly Google Cloud Platform (GCP).
• Proficiency with AI-powered development tools and coding assistants to accelerate productivity and documentation processes.
• Ability to gather business requirements, translate them into technical solutions, and work autonomously in multidisciplinary environments.
• Excellent communication and stakeholder management skills, with a strong interest in understanding business processes and portfolio management challenges.

Preferred Qualifications:

• Experience with Generative AI agents and AI-powered data products.
• Previous experience in retail, consumer goods, or product portfolio management environments.
• Postgraduate studies in Statistics, Data Science, or related fields.

Benefits:

• Comprehensive medical and dental insurance coverage.
• Medication assistance and healthcare support programs for family members.
• Free psychotherapy sessions, telemedicine services, and second medical opinion programs.
• Annual flu vaccination and additional wellness initiatives.
• Meal allowance, food allowance, and additional year-end food benefits.
• Gym and wellness programs, including access to fitness studios and health initiatives.
• Home office allowance for eligible work models.
• Pet healthcare support and discounts of up to 40% on company products.
• Employee association with partnerships, educational programs, travel benefits, and exclusive discounts.
• Childcare assistance, educational support, school material assistance, and benefits for families.
• Extended parental leave policies, including 180 days for mothers and 120 days for fathers.
• Transportation assistance and parking support for hybrid and onsite work models.
• Life insurance, private pension plan, financial assistance programs, and payroll loans.