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Data Science Specialist at GrupoSC Distribuidora de Medicamentos | JobVerse
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Data Science Specialist
GrupoSC Distribuidora de Medicamentos
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LinkedIn
Data Science Specialist
São Paulo, São Paulo, Brazil
Full Time
8 hours ago
No Sponsorship
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Key skills
Airflow
AWS
Azure
Docker
Google Cloud Platform
Hadoop
Java
Kafka
Kubernetes
NoSQL
Numpy
Pandas
Python
PyTorch
Scala
Scikit-Learn
Spark
SQL
Tableau
Tensorflow
R
AI
Artificial Intelligence
Machine Learning
Gemini
TensorFlow
scikit-learn
NumPy
MLOps
Analytics
BI
Power BI
GCP
Google Cloud
CI/CD
About this role
Role Overview
Analyze large volumes of structured and unstructured data;
Develop analytical, predictive, and exploratory models;
Apply generative and analytical AI tools for automation, analysis, and decision support;
Build data-driven POCs and MVPs in partnership with business and technology teams;
Validate hypotheses, identify patterns, and generate strategic insights;
Prepare, clean, and organize data for advanced analyses;
Document models, analyses, and results clearly and concisely;
Collaborate with AI Labs, IT, and business areas;
Ensure responsible use of AI, complying with information security and LGPD (Brazilian Data Protection Law);
Big Data, Machine Learning, Artificial Intelligence, and Data Analytics;
Experience with cloud architectures (AWS, Azure, GCP) and integrations with legacy systems.
Requirements
Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related fields;
Hands-on experience with Python (pandas, numpy, scikit‑learn or similar);
Languages: Python, R, SQL and knowledge of Java/Scala;
Tools and frameworks: Spark, Hadoop, Kafka, Airflow, TensorFlow, PyTorch, scikit-learn;
Data modeling and processing: relational, dimensional, NoSQL and event-driven architectures;
DevOps and MLOps: CI/CD, Docker, Kubernetes, model versioning;
Data governance and security: LGPD, GDPR, data lineage, data quality. Ability to translate business requirements into robust technical solutions;
Exploratory data analysis (EDA);
Experience with AI tools, such as language models (e.g., ChatGPT, Copilot, Gemini or similar), AutoML, or analytics acceleration tools;
Knowledge of: data modeling, metrics, KPIs and business indicators, data visualization (e.g., Power BI, Tableau or similar);
Ability to translate technical analyses into business language.
Tech Stack
Airflow
AWS
Azure
Docker
Google Cloud Platform
Hadoop
Java
Kafka
Kubernetes
NoSQL
Numpy
Pandas
Python
PyTorch
Scala
Scikit-Learn
Spark
SQL
Tableau
Tensorflow
Benefits
PDS (Superior Performance Award)
Partnerships and agreements (SESC, universities, restaurants, leisure, culture, etc.)
Development/educational platform and training programs
Pregnancy support program
Medical assistance
Dental assistance
Life insurance
Total Pass (commuting benefit)
Product discounts (BMC)
Transportation voucher or parking
Meal voucher or food allowance
Apply Now
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