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Grupo Boticário

Data Science Specialist I – Stores and Franchises

Grupo Boticário

. Serve as the focal point within the Franchises and Stores ecosystem for the design, modeling, and evolution of advanced data science solutions .

Posted 9/29/2026full-timeRemote • BrazilLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Machine Learning model development and optimization, with a strong focus on delivering high-impact solutions that align with strategic business goals. Proficient in stakeholder engagement and communication, translating complex business needs into actionable technical requirements.

Highest-signal resume keywords
Machine Learning Model DevelopmentPredictive ModelingOptimization AlgorithmsGenerative AI ApplicationsStakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningPredictive ModelingOptimization AlgorithmsMachine Learning PipelinesML Engineering
Soft Skills
Analytical SkillsCritical MindsetNegotiation SkillsCommunication SkillsAutonomous Profile
Industry Keywords
Data Science SolutionsResource OptimizationWorkforce AllocationShift Schedule SimulatorsRetail Operational Performance

About the role

Key responsibilities & impact
  • Serve as the focal point within the Franchises and Stores ecosystem for the design, modeling, and evolution of advanced data science solutions
  • Translate complex business needs into robust, pragmatic technical solutions
  • Ensure the pragmatic, high-impact delivery of Machine Learning models, meeting deadlines while maintaining high technical quality
  • Act as a technical reference, providing ongoing support and contributing to the team’s development and training
  • Identify opportunities for continuous improvement and innovation in workflows and data products
  • Develop solutions aligned with strategic goals, generating tangible value and maximizing retail operational performance
  • Develop and enhance predictive and traditional Machine Learning models
  • Create and implement resource optimization solutions, including workforce allocation, shift schedule simulators, and ideal staffing models
  • Explore and apply Generative AI initiatives
  • Engage and negotiate with business-area stakeholders, establishing operational and tactical agreements

Requirements

What you’ll need
  • Strong command of and practical experience with traditional Machine Learning and predictive modeling
  • Practical knowledge or a well-structured theoretical foundation in optimization algorithms and techniques
  • Knowledge of Generative AI and its practical applications in a business context
  • Strong analytical skills and a critical mindset for validating and auditing models and AI-generated outputs
  • Excellent negotiation, stakeholder engagement, and communication skills to translate business challenges into technical requirements
  • Autonomous profile, with the ability to take a firm position and easily gather requirements, validate hypotheses, and structure technical and executive presentations
  • Skills and knowledge in Machine Learning pipelines and ML Engineering (MLE) are a plus

Benefits

Comp & perks
  • Flexible medical and dental insurance plans
  • Medication allowance and healthcare allowance for family members
  • Free psychotherapy sessions and 24/7 telemedicine
  • Ongoing prevention, mental health, and vaccination programs
  • Meal voucher (or on-site restaurant) and food allowance (including an additional Christmas allowance)
  • Up to 40% discount on brands across our ecosystem
  • Gympass/TotalPass membership for gyms and sports studios
  • Home office allowance for hybrid and remote work arrangements
  • Birthday day off
  • Pet health insurance, partner benefits, and travel/accommodation programs
  • Extended parental leave (180 days for mothers and 120 days for fathers)
  • Support for parents of children with special needs and childcare allowance
  • School supplies allowance and child nutrition credit
  • Dedicated legal, psychological, and social support
  • Private pension plan and life insurance
  • Bereavement support following the loss of parents and payroll-deducted loans
  • Transportation allowance and parking (depending on the work arrangement)