Data Science Specialist I – E-commerce

🔥 3 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Grupo Boticário

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2010

🏭 Manufacturing

🍽️ Food & Beverage

💄 Beauty

Manufacturing • Food & Beverage • Beauty

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

• Develop advanced Data Science solutions focused on Recommendation Systems and Search Engines, using machine learning and deep learning models to improve product discovery in e-commerce • Execute the full Data Science solution lifecycle, from understanding the customer journey and feature engineering to model development, offline/online validation, and production deployment support • Design model usage and monitoring in partnership with Product and Business teams • Lead A/B tests and ensure the ongoing value of predictions by increasing conversion, CTR, and average order value • Identify opportunities to apply Generative AI and NLP to search and recommendation experiences

🎯 Requirements

• Experience as a data scientist developing recommendation models in an e-commerce context • Strong knowledge of Statistics and Machine Learning • Experience with Recommendation Systems, including Collaborative Filtering, Matrix Factorization, Content-Based Filtering, and Neural Networks for RecSys • Knowledge of Learning to Rank (LTR) algorithms • Proficiency in Python, SQL, and PySpark/Spark • Experience working in Squad/Data Product models in Retail, E-commerce, or Marketplace environments • Analytical and creative thinking to design solution architectures capable of meeting the scale and latency requirements of high-traffic e-commerce platforms • Strong communication skills to translate technical results and complex metrics for Product and Business stakeholders • Knowledge of version control with Git • Familiarity with Cloud environments (GCP, AWS) and model deployment pipelines (MLOps) • Experience with AI-assisted code development (GitHub Copilot, Claude Code, etc.)

🏖️ Benefits

• Flexible medical and dental insurance plans • Prescription drug assistance and health allowance for family members • Free psychotherapy sessions and 24/7 telemedicine • Ongoing prevention, mental health care, and vaccination programs • Meal allowance (or on-site restaurant) and food allowance (with an additional Christmas allowance) • Discounts of up to 40% on brands across our ecosystem • Gympass/TotalPass access to 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 assistance • School supply 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)