Cientista de Dados
@ KaBuM!

Hybrid
R$120,000
Hybrid
Full Time
Posted 24 days ago

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XXXXXXXX XXXXXXXXXXX XXXXXXXXX***** @kabum.com
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Job Details

About the Role

Join KaBuM! as a Cientista de Dados to work on cutting-edge data science projects. The role focuses on LLM development and fine-tuning, creation of intelligent conversational agents, web crawling, and advanced data analytics.

Responsibilities

  • Develop and fine-tune Large Language Models for NLP tasks.
  • Create and implement conversational agents for seamless user experiences.
  • Design robust web crawler pipelines for data extraction.
  • Analyze structured and unstructured data to generate strategic insights.
  • Collaborate with software and product teams for solutions integration.
  • Stay updated on LLM, AI conversational, and web crawler best practices.
  • Monitor performance and optimize models continuously.

Requirements

Essential Qualifications: Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics or related fields; solid experience in data science; practical experience with LLMs (e.g., GPT, BERT, Llama); familiarity with Hugging Face transformers; development experience with conversational agents; proficiency in web crawling tools; strong programming skills in Python and its libraries; proficiency in SQL and relational databases; excellent analytical and problem-solving skills.

Desirable Qualifications: Post-graduate studies in AI or Machine Learning; cloud computing experience (AWS, GCP, or Azure); knowledge in MLOps; API development experience; data visualization skills.

Benefits

  • Medical and Dental Assistance
  • Product Discounts
  • Life Insurance
  • Meal and Transport Vouchers
  • Additional perks: Gympass, Totalpass, New Value, Clube dos Magalus, Prime Ninja, Ninja Academy

Key skills/competency

  • Machine Learning
  • NLP
  • LLMs
  • Python
  • Web Crawler
  • Data Analysis
  • SQL
  • API
  • Cloud
  • Automation
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How to Get Hired at KaBuM!

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to data science and NLP terminology.
  • Research KaBuM!: Understand their technology and innovation approach.
  • Highlight relevant experience: Emphasize LLMs and web crawling projects.
  • Prepare for technical tests: Review Python, ML, and data analysis challenges.
  • Showcase project outcomes: Detail measurable impacts from previous roles.

📝 Interview Preparation Advice

Technical Preparation

Review Python libraries and ML frameworks.
Practice LLM fine-tuning and NLP tasks.
Set up web crawler projects in sandbox environment.
Revisit SQL and cloud deployment fundamentals.

Behavioral Questions

Describe overcoming project challenges.
Explain team collaboration experiences.
Discuss learning from past mistakes.
Illustrate problem-solving under pressure.

Frequently Asked Questions