Analyze structured and unstructured data, extract relevant insights, and develop scalable analytical solutions using modern statistics, Machine Learning, and AI techniques.
AI and Machine Learning models, including generative AI
Algorithms
Business analysis
Business case development
Coding
Data architecture
Data exploration and prototyping
Data governance
Data preparation and refinement
Data profiling
Sampling and data filtering
Data security
Data collection and ingestion
Data integration
Data modeling
Data visualization and presentation
Decision modeling
Distributed data processing
Feature engineering
Project estimation
Requirements elicitation
Statistics
Writing data queries and scripts
Requirements
Bachelor’s degree in Technology, Computer Science, Data Science, or a related field
Postgraduate degree desirable
Proficiency in programming languages, including Python and other programming languages
Knowledge of SQL database design
Experience with AI and Machine Learning models
Familiarity with market SaaS, PaaS, and IaaS platforms such as Sensedia, MuleSoft, Digibee, AWS, Microsoft, and Google, as well as API and microservices architecture
Advanced English
Tech Stack
AWS
Python
SQL
Benefits
Comprehensive health insurance covering dependents
Dental plan covering dependents
Telemedicine service
Emotional health program with free psychological counseling
Annual flu vaccination at no cost to employees
Preventive health programs, including follow-up for employees with chronic conditions and promotion of healthy habits
Access to an accredited network of establishments such as gyms and studios (TotalPass)
Partnership network and discounts on products and services
Internal wellbeing programs: Mente Leve (emotional health), Convivendo (support for employees with chronic conditions), Enxuga (healthy habit promotion), and Melhor Maternidade (support for pregnant employees and dependents, and children up to 2 years)