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

BrazilFull-timePosted Jul 13, 2026
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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

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

Accountabilities:

    • 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.
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1

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