Senior Data Scientist

Job not on LinkedIn

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 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.

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Ambev

WebsiteLinkedInAll Job Openings

10,000+ employees

🏭 Manufacturing

📦 Logistics

📣 Marketing

Manufacturing • Logistics • Marketing

Ambev is a Brazilian beverage company that brews, markets and distributes beer, soft drinks and other non-alcoholic beverages across Latin America and beyond. It owns well-known regional brands (e. g. , Skol, Brahma, Antarctica), operates large-scale manufacturing and distribution networks, and is part of the global Anheuser‑Busch InBev group. Ambev focuses on consumer-facing sales, brand marketing, and supply-chain operations for alcoholic and non-alcoholic beverages.

📋 Description

• Work within the Revenue squad to optimize coupons, discounts, and campaigns, maximizing purchase conversion. • Analyze price perception and customer behavior to identify opportunities for improvement. • Balance commercial appeal, customer experience, and revenue generation. • Develop and enhance prediction models for Zé Delivery. • Create and maintain data pipelines and features in PySpark to support models at scale. • Develop product and offer recommendation strategies throughout the customer journey. • Define, execute, and analyze A/B tests to assess the impact of models and campaigns.

🎯 Requirements

• Bachelor's degree or equivalent higher education qualification. • Experience working with consumer data applied to recommendation and personalization problems. • At least 3 years of experience as a Data Scientist. • Strong experience with Python and PySpark, including distributed processing and handling large volumes of data in a cloud environment (AWS or Azure). • Experience developing machine learning models for recommendation, prediction, and classification. • Knowledge of recommendation techniques, such as matrix factorization (e.g., ALS), neighborhood-based models, and embeddings. • Experience with market basket analysis and association rules (e.g., Apriori, FP-Growth). • Experience with clustering and customer segmentation techniques based on behavior and lifecycle. • Knowledge of causal inference, A/B testing, and incremental impact measurement. • Experience with offline and online evaluation of recommendation models (e.g., NDCG, MAP, uplift, and business metrics). • Strong foundations in statistics, machine learning, and model validation. • Ability to translate analytical models into business decisions and impact on key metrics. • Preferred qualifications: experience with modern recommendation architectures, user and item embeddings, real-time and low-latency recommendation systems, feature stores, online/offline feature serving, multi-armed bandits, reinforcement learning applied to recommendation, a graduate degree in Data Science or a related field, strong communication skills, and the ability to generate actionable business insights.

🏖️ Benefits

• Medical Insurance • Dental Insurance • Telemedicine • Life Insurance • Gympass • Discount on company products • Christmas food basket • Toys for employees' children • Private pension plan • Meal or food allowance • Optional transportation allowance • Attendance bonus equivalent to a 14th salary payment • Childcare or nanny allowance • Company profit sharing • Merit-based and inclusive environment • Development and career growth opportunities within the company