Data Scientist, Mid-Level

Avanade

Cientista de Dados Pleno desenvolvendo soluções escaláveis de dados e IA na Avanade. Criando modelos preditivos, pipelines e integrações Azure para transformação digital dos clientes.

Posted 9/4/2026full-timeSão Paulo • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in developing and integrating solutions using Python, REST APIs, and Microsoft Azure cloud services, with a strong focus on data quality and governance through ETL/ELT processes. Experienced in applying Machine Learning techniques and supporting Artificial Intelligence initiatives, including Generative AI and Large Language Models.

Highest-signal resume keywords

Python DevelopmentREST API IntegrationMicrosoft Azure Cloud ServicesApache Spark and PySparkMachine Learning Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonREST APIsETL/ELT DevelopmentSQLMachine LearningApplied StatisticsData GovernanceData OrchestrationMLOpsGenerative AI

Soft Skills

CollaborationProblem-Solving

Tools & Technologies

Azure Cloud ServicesApache SparkPySparkGit

Industry Keywords

Data QualityData GovernancePredictive ModelsArtificial IntelligenceLarge Language Models

Tech Stack

Tools & technologies

ApacheAzureETLPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Develop solutions using Python to build and consume REST APIs
Integrate applications and pipelines with Azure cloud services
Implement authentication mechanisms and access key management
Develop and maintain ETL/ELT processes focused on data quality, governance, and traceability
Process large volumes of data using Apache Spark and PySpark
Perform data analysis and integration using SQL
Develop, evaluate, and enhance predictive models and Machine Learning solutions
Support Artificial Intelligence initiatives, including Generative AI and Large Language Model (LLM) applications
Collaborate with cross-functional teams to integrate analytics solutions into digital products
Translate business needs into data-driven solutions

Requirements

What you’ll need

Experience with Python
Building and consuming REST APIs
Integration with Microsoft Azure cloud services
Authentication, management, and use of access keys
Apache Spark and PySpark for processing large volumes of data
ETL/ELT pipeline development
SQL for analyzing and integrating enterprise databases
Knowledge of Applied Statistics
Development and evaluation of predictive models
Machine Learning techniques
Familiarity with Large Language Models (LLMs) and Generative AI
Use of Git for code version control and team collaboration
Preferred: Knowledge of Data Governance
Preferred: Responsible AI practices
Preferred: Basic knowledge of MLOps
Preferred: Data orchestration
Preferred: Experience translating business requirements into analytics solutions

Benefits

Comp & perks

Meal or food allowance
Multi-Benefit Card (up to Senior Consultant level)
Medical and dental insurance
Certifications and training
Life insurance
Private pension plan
Avababy: pregnancy support and a kit for new parents
Company profit-sharing program
Wellhub
Childcare assistance
Career mentoring
Birthday Off policy (one day off during your birthday month)
Wellness sessions
For management positions: company vehicle, parking, and fuel allowance