Analista de Dados

Lenovo; São Paulo; On-site; BRL 180,000 - 260,000; Full time

Job summary

Lenovo in Brazil seeks a data-driven AI Engineer to transform IT operations using analytics and Generative AI. You will build models, data pipelines, and observability to improve service quality and digital employee experience.

Ideal candidates have proven ML deployment experience, strong Python skills, and work with cloud platforms (AWS/Azure). This role offers a full-time on-site position in São Paulo with competitive compensation.

Qualifications

• Proven experience in Data Science, ML, or AI Engineering roles.
• Experience deploying AI/ML models in production, ideally within IT operations or service management.
• Hands-on with Generative AI and conversational platforms.

Responsibilities

• Apply data analytics, predictive modeling, and observability to support continuous improvement across IT operations.
• Transform operational data into actionable insights and recommendations to drive decision‑making.
• Enhance Digital Employee Experience (DEX) through proactive, AI‑driven issue identification and service improvements.
• Develop and implement Generative AI solutions (e.g., conversational AI, knowledge automation) to optimize user journeys.
• Design, build, and maintain machine learning models to identify patterns, trends, and root causes in IT data.
• Build and manage data pipelines and data models to support analytics, reporting, and AI initiatives.
• Strong written and verbal communication skills.
• Proficiency in Python and experience with data science and AI/ML frameworks.
• Knowledge of data engineering concepts (ETL, data pipelines, data lakes, cloud ecosystems such as AWS or Azure).
• Experience with observability and analytics tools for monitoring and optimization.
• Ability to translate business problems into analytical models and AI‑driven solutions.
• Strong problem‑solving skills with the ability to apply advanced technical concepts across domains.

Skills

Data Analytics

Machine Learning

AI Engineering

Python

Data Pipelines

ETL

Cloud (AWS/Azure)

Observability

Communication

Problem Solving

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering

Tools

TensorFlow

PyTorch

Generative AI

SQL

Data Lakes

Job description

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com , and read about the latest news via our StoryHub .

Description and Requirements

Role Overview

This role focuses on driving data-driven transformation across IT operations by leveraging advanced analytics, machine learning, and Generative AI.

You will play a key role in improving service quality, enhancing the digital employee experience (DEX), and enabling smarter decision‑making through data and AI‑driven insights.

Key Responsibilities

• Apply data analytics, predictive modeling, and observability to support continuous improvement across IT operations
• Transform operational data into actionable insights and recommendations to drive decision‑making
• Enhance Digital Employee Experience (DEX) through proactive, AI‑driven issue identification and service improvements
• Develop and implement Generative AI solutions (e.g., conversational AI, knowledge automation) to optimize user journeys
• Design, build, and maintain machine learning models to identify patterns, trends, and root causes in IT data
• Build and manage data pipelines and data models to support analytics, reporting, and AI initiatives
• Strong written and verbal communication skills
• Proficiency in Python and experience with data science and AI/ML frameworks
• Knowledge of data engineering concepts (ETL, data pipelines, data lakes, cloud ecosystems such as AWS or Azure)
• Experience with observability and analytics tools for monitoring and optimization
• Ability to translate business problems into analytical models and AI‑driven solutions
• Strong problem‑solving skills with the ability to apply advanced technical concepts across domains

Qualifications & Experience

Experience:
Proven experience in Data Science, Machine Learning, or AI Engineering roles
Experience deploying AI/ML models in production environments, ideally within IT operations or service management
Hands‑on experience with Generative AI and conversational platforms

Education:
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field

Preferred Certifications & Knowledge:
Certifications in AI/ML, Data Science, or Cloud platforms
Strong foundation in statistics, data modeling, and AI concepts
Continuous learning mindset, particularly in emerging areas such as Generative AI and advanced analytics

We believe in treating each other with respect and dignity. We judge all applicants and employees by their qualifications, demonstrated skills and achievements without regard to race, color, religion, gender, gender identity or expression, national origin, ethnicity, sexual orientation, sex, age, disability, veteran status, marital status or any other characteristic protected by local law. When necessary, Lenovo will provide reasonable accommodations for employees with disabilities or those with special religious requirements. All employees help to create a positive work environment by adhering to these standards.

If you require an accommodation to complete this application, please contact [e-mail]