Data Scientist III – Affirmative Action Position for Women (Cis and Trans)

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Grupo Boticário

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2010

💄 Beauty

🛒 Retail

🧘 Wellness

Beauty • Retail • Wellness

Grupo Boticário is a leading Brazilian beauty company founded in 1977 that emphasizes innovation in beauty solutions while promoting love and inclusivity. The company offers a diverse portfolio of beauty products, including skincare, makeup, and wellness items, while also championing entrepreneurship and social impact through its foundation and various initiatives. Grupo Boticário is recognized for its commitment to sustainability, accessibility, and high-quality products, making it one of the largest beauty platforms in Latin America.

📋 Description

• Gather technical requirements and propose efficient data solutions, aligning data science with business objectives; • Define, design and implement data models to meet and exceed business area requirements; • Develop high-quality Data Science solutions, including supervised and unsupervised models, predictive models and deep analyses that address the company's primary challenges; • Independently execute all stages of the DS solution lifecycle (from understanding the business, studying and preparing features, to building and validating model performance); • Work at the technological forefront on projects involving Generative Artificial Intelligence, focusing on the creation of intelligent agents; • Collaboratively design and implement practical use and continuous monitoring of deployed models in partnership with business areas; • Assist in developing and maintaining data engineering pipelines, using best practices for organizing and optimizing workflows; • Develop secure, consistent and scalable solutions for data collection, transformation and quality assurance in data pipelines; • Investigate opportunities and propose new techniques while keeping technical documentation of solutions up to date; • Work horizontally and cross-functionally, showing genuine interest in understanding business processes and metrics; • Communicate effectively and concisely (oral and written), translating complex technical topics for different audiences and stakeholders.

🎯 Requirements

• SQL proficiency: Solid experience with the language, with strong preference for the GCP ecosystem (BigQuery); • Programming language: Practical development experience, preferably using Python; • Theoretical foundations: Strong knowledge of descriptive statistics, statistical inference and probability; • Machine Learning: Hands-on experience with supervised and unsupervised models, covering feature engineering, hyperparameter optimization, cross-validation, as well as interpretation and evaluation of performance metrics; • Analytical mindset: Analytical and creative thinking to propose solutions that meet different business needs; • Soft skills: Ease working in horizontal, cross-disciplinary teams, with excellent communication and a dynamic profile suited to rapidly changing environments; • Generative AI: Experience with generative AI solutions aimed at building virtual assistants is a plus; • DevOps and Cloud: Practical experience with code versioning tools (Git) and cloud environments is a plus; • Deployment culture: Experience deploying models to production is a plus; • Advanced experimentation: Knowledge in designing and evaluating experiments (A/B tests, multivariate tests, etc.) is a plus; • Data engineering: Knowledge of data ingestion technologies and strategies, as well as workflow orchestration tools (e.g., Airflow, Luigi, Kubeflow) is a plus; • Integrations: Experience extracting data via third-party APIs (e.g., Google, Facebook, Salesforce) is a plus.

🏖️ Benefits

• Here, your health is a priority • . Medical and dental plan • . Medication assistance • . Health allowance for family members • . Free psychotherapy sessions • . Telemedicine and second medical opinion • . Free flu vaccination • . Health care programs • To support your nutrition • . Meal voucher or local restaurant allowance (depending on work model) • . Food allowance • . Holiday (Christmas) food allowance • Ensuring well-being and quality of life in all aspects • . Gym and fitness studio plan • . Home office allowance (for hybrid and remote work models) • . Pet health plan • . Birthday day off • . Up to 40% discount on our products • . Employee membership benefits (partnerships and discounts, multibrand store, TotalPass gyms, courses and more!) • . Travel and accommodation program • For the family, our most precious asset • . Childcare assistance • . Child nutrition credit • . Babysitting allowance • . School supplies assistance • . Legal, psychological and social counseling • . Support for non-traditional parents • . Extended parental leave (180 days for mothers and 120 days for fathers) • Mobility for your on-site commute • . Transportation voucher and parking (hybrid and on-site models) • Financial security for protection and peace of mind • . Life insurance • . Bereavement support for loss of parents • . Private pension plan • . Payroll-deductible loans