Data Science specialist

Lenovo; Indaiatuba; Presencial; BRL 133 920 - 178 560; Tempo integral

Resumo da oferta

Lenovo is seeking a Mid-level Data AI Analyst to support its Data Science and AI initiatives within the Services organization. This role focuses on driving data analytics solutions, collaborating closely with business stakeholders and external partners to develop impactful, data-driven outcomes.

The ideal candidate will lead initiatives related to machine learning, develop analytical models, and promote a data-driven culture within the organization.

Qualificações

• Mid-level Data AI Analyst with skills in data analytics and machine learning.
• Strong experience in developing dashboards, reports, and automations.
• Ability to collaborate with business stakeholders and translate their needs.

Responsabilidades

• Identify opportunities for innovative technologies in Services.
• Perform data collection, cleansing, and analysis.
• Develop machine learning models and analytical automations.

Conhecimentos

Data Analytics

Machine Learning

AI

Data Governance

Data Pipelines

Advanced English

Descrição da oferta de emprego

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.

To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

We are looking for a Data AI Analyst (Mid‑level) to support and drive Data Science and Artificial Intelligence initiatives within the Services organization, acting as a key enabler between business needs and advanced analytics solutions. This professional will play a critical role in identifying opportunities, structuring use cases, developing analytical models, and promoting a data‑driven culture across Services. The role involves close collaboration with business stakeholders and external partners to ensure scalable and impactful solutions. Additionally, the analyst will act as a Data AI evangelist, fostering adoption, educating teams, and supporting the integration of analytics into operational and strategic decision‑making, ensuring alignment with corporate guidelines and business objectives.

General Responsibilities

• Identify opportunities to apply Data Analytics, Machine Learning, AI, and other innovative technologies within Services processes
• Perform data collection, cleansing, analysis, and interpretation
• Support the structuring of AI/Data Science use cases (business case, ROI, impact)
• Develop dashboards, reports, automations, and exploratory analyses
• Document analytical processes, models, and data flows
• Collaborate with stakeholders to translate business needs into analytical solutions
• Ensure data quality, governance, and consistency
• Support automation and continuous improvement initiatives
• Lead or support training sessions and awareness initiatives on Data and AI usage
• Act as a data‑driven culture evangelist, promoting best practices

Position Responsibilities

• Lead small to medium complexity Data AI initiatives
• Develop machine learning models
• Design and implement data pipelines and analytical automations
• Build end‑to‑end solutions (from problem definition to deployment, when applicable)
• Influence stakeholders and support data‑driven decision‑making
• Identify and propose new AI opportunities
• Act as a technical reference for Services stakeholders
• Facilitate workshops, training sessions, and ideation sessions
• Advanced English level

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.