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- Tempo integral
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Automation-Data Scientist / GenAI expert

Lenovo -
São Paulo, SP

Candidate-se Agora

Detalhes da vaga

Tempo integral
Há 6 horas

Qualificações

Estatística
Azure
Gestão
Ciência da Computação
Certificação AWS
Mestrado
ETL
Inteligência artificial
Habilidade de Comunicação
Python
Analíticos

Descrição completa da vaga

General Information

Req #

WD00100405

Career area:

Information Technology

Country/Region:

Brazil

State:

São Paulo

City:

Sao Paulo

Date:

Monday, June 8, 2026

Working time:

Full-time

Additional Locations:

Brazil - São Paulo - São Paulo

Brazil - São Paulo - Sao Paulo

Why Work at Lenovo

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 #196 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

We are seeking a professional who can help drive data-driven transformation across IT operations by leveraging advanced analytics, machine learning, and Generative AI to optimize service performance and user experience.

This role will focus on using operational data to generate insights, improve Digital Employee Experience (DEX), and develop AI-driven solutions that enhance IT service management and reduce manual intervention.

Key Responsibilities

Support continuous improvement through data analytics, predictive modeling, and observability
Transform operational data into actionable insights and recommendations to support intelligent decision-making
Enhance Digital Employee Experience (DEX) by applying AI-driven insights to proactively identify issues and improve service quality
Develop and apply Generative AI solutions, including conversational AI and knowledge automation, to improve user journeys and reduce dependency on human intervention
Design, build, and maintain predictive models and machine learning algorithms to identify patterns, trends, and root causes in IT operations data
Build data pipelines and data models to support analytics, reporting, and AI initiatives

Key Skills & Competencies

Strong written and verbal communication skills
Proficiency in Python and experience with data science and AI frameworks
Knowledge of data engineering and analytics, including data pipelines, ETL, data lakes, and AWS/Azure ecosystems
Experience with observability and analytics tools for monitoring and optimization
Ability to translate business challenges into analytical models and AI-driven solutions
Strong problem-solving skills with the ability to apply advanced technical concepts, principles, and related technologies to deliver effective solutions

Qualifications & Experience

Required Experience

Proven experience in Data Science, Machine Learning, or AI Engineering roles
Experience implementing AI/ML models in production environments, preferably in IT operations or service management settings
Hands-on experience with Generative AI solutions and conversational platforms

Education

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

Preferred Qualifications

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

Additional Locations:

Brazil - São Paulo - São Paulo

Brazil - São Paulo - Sao Paulo

Brazil

Brazil - São Paulo

* Brazil - São Paulo - São Paulo , * Brazil - São Paulo - Sao Paulo

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