GenAI-Powered Data Scientist for Growth & Impact

MSD; Paço de Arcos; On-site; EUR 50,000 - 90,000; Full time

Job summary

Mindset seeks a Data Scientist with a growth mindset to turn data and AI into measurable business value. You will partner with cross-functional teams, advise stakeholders, and champion innovation, experimentation, and learning to deliver AI-enabled solutions.

Responsibilities include designing analytics, deploying ML and GenAI, translating needs into data products, and driving responsible AI practices across the organization. Fluency in PT and EN is required.

Qualifications

• 3+ years in Data Science or related fields.
• Experience with end-to-end analytics lifecycle.
• Experience with Generative AI, LLMs, or RAG concepts.
• Strong Python/SQL programming; experience with R is a plus.
• Ability to translate business needs into analytics products.
• Effective consulting and stakeholder management skills.
• Familiarity with cloud analytics environments (Azure, Databricks, AWS, GCP).
• Fluency in Portuguese and English, both written and spoken.

Responsibilities

• Partner with business teams to identify data science use cases with measurable value.
• Design, develop, deploy analytics, ML, GenAI, and predictive solutions.
• Translate needs into scalable data products, models, and AI-enabled solutions.
• Promote AI adoption, educate stakeholders, and drive responsible AI.
• Develop prototypes and MVPs to accelerate innovation.
• Leverage modern data platforms to improve efficiency across processes.
• Collaborate with data engineers and business leaders to ensure sustainability.

Skills

Data science

AI/ML

Python

SQL

R

Stakeholder mgmt

Cloud platforms

Bilingual PT/EN

Education

Degree in Data Science / CS / Stats / Eng

Tools

Azure

Databricks

AWS

GCP

Job description

Mindset seeks a Data Scientist with a growth mindset to turn data and AI into measurable business value. You will partner with cross-functional teams, advise stakeholders, and champion innovation, experimentation, and learning to deliver AI-enabled solutions.

Responsibilities include designing analytics, deploying ML and GenAI, translating needs into data products, and driving responsible AI practices across the organization. Fluency in PT and EN is required.