Pessoa Cientista de Dados III (Diretoria de Dados)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Pessoa Cientista de Dados III (Diretoria de Dados) in Brazil.

This is a senior Data Science role focused on Revenue Growth Management (RGM) within a large-scale, data-driven ecosystem in the beauty and retail industry. You will work at the intersection of advanced analytics, machine learning, and business strategy, helping transform complex data into actionable insights that directly support strategic decision-making. The role involves close collaboration with Data Engineering and Digital Product teams in a highly collaborative and fast-evolving environment. You will be responsible for developing and deploying end-to-end data science solutions, from problem framing to productionization. A strong emphasis is placed on translating advanced mathematical models into business-ready tools that optimize revenue and performance. You will also act as a key connector between technical teams and business stakeholders, ensuring clarity, impact, and adoption of analytical solutions across the organization.

Accountabilities

• Develop end-to-end Data Science solutions, including exploratory analysis, supervised and unsupervised machine learning models, and optimization-based approaches to solve complex business problems.
• Own the full data science lifecycle, from business understanding and feature engineering to model development, validation, and support for production deployment.
• Partner with business teams to define use cases, ensure model usability, and support monitoring and adoption of analytical solutions in decision-making processes.
• Translate complex analytical and statistical results into clear, actionable insights for non-technical stakeholders across different business areas.
• Collaborate in an agile, multidisciplinary environment, working closely with Data Engineering, Product, and other cross-functional teams.
• Explore and apply emerging AI tools and techniques to enhance modeling approaches, explainability, and productivity in data science workflows.
• Contribute to knowledge sharing and continuous improvement of data science practices within the team.
  
  

Requirements

• Strong foundation in Statistics and Machine Learning, including supervised and unsupervised modeling techniques.
• Intermediate to advanced knowledge of Operations Research and mathematical optimization methods.
• Proficiency in Python and SQL for data analysis, modeling, and pipeline development.
• Experience with version control tools such as Git/GitHub and familiarity with cloud-based environments.
• Strong business communication skills with the ability to explain complex analytical concepts in a clear and structured way.
• Collaborative mindset with experience working in cross-functional and agile environments.
• Nice to have: deep expertise in Operations Research and optimization modeling.
• Nice to have: experience with AI tools, coding assistants (e.g., GitHub Copilot), and LLM-based solutions.
• Nice to have: experience integrating data science models into digital products or production systems.
  
  

Benefits

• Comprehensive health and wellness package, including medical and dental coverage, telemedicine, psychotherapy sessions, and health programs.
• Meal and food support through meal vouchers or on-site restaurants, food allowance, and holiday food assistance.
• Flexible benefits focused on well-being, including gym partnerships, home office support (where applicable), and pet health coverage.
• Employee discounts on products across a wide portfolio of beauty and personal care brands.
• Family support benefits, including childcare assistance, parental leave extensions, education support, and psychological guidance.
• Financial security benefits such as life insurance, private pension plans, and payroll-deducted loans.
• Work-life balance perks such as birthday day off, wellness programs, and employee association benefits.
• Structured career development within a large, innovation-driven organization.
  
  

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.