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Mid-level Data Scientist – Focus on Generative AI
Localiza&CoCientista de Dados Pleno na Localiza&Co desenvolvendo análises e soluções de IA Generativa. Colaborando em projetos de Machine Learning e automação.
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Develop analyses, Machine Learning models, and solutions using Generative AI;
- Participate in building applications based on LLMs, such as RAG solutions, internal assistants, automations, and text classification;
- Perform data exploration, hypothesis definition, model evaluation, and generate business insights;
- Support deployment and monitoring of models and analytical solutions in production environments;
- Collaborate with data engineers, product teams, and business areas to translate problems into data-driven solutions;
- Document analyses, models, experiments, and key technical decisions.
Requirements
What you’ll need- Experience in Data Science, Machine Learning, or advanced data analysis projects;
- Proficiency in Python and SQL;
- Knowledge of Machine Learning, applied statistics, exploratory data analysis, and model evaluation;
- Familiarity with Generative AI, LLMs, prompt engineering, embeddings, or RAG;
- Basic understanding of cloud, APIs, version control, and development best practices;
- Ability to translate business problems into analytical solutions;
- Good communication skills to work with technical and non-technical teams;
- Intermediate English;
- Minimum of 3 years of experience in Data Science, Machine Learning, applied AI, or related areas.
Benefits
Comp & perks- Profit sharing
- Food allowance
- Meal voucher
- Health insurance
- Dental insurance
- Gympass
- Private pension plan
- Home office allowance
- Allya
- Unlimited access to courses from our Localiza University
- Internal training and development programs
- Discount on vehicle purchases and rentals
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningData ScienceApplied StatisticsExploratory Data AnalysisModel EvaluationData ExplorationHypothesis DefinitionAnalytical SolutionsText ClassificationRAG Solutions
Soft Skills
Good Communication SkillsCollaboration