Data Scientist I

Arco

Completely RemoteFull TimeInformation Technology
Posted Yesterday

Job description

Responsibilities

  • Work with the Data Science team and business areas to develop analytical solutions that generate real impact
  • Actively participate in building and evolving predictive indicators, machine learning models, and AI applications for pricing, credit, collection, and fraud prevention
  • Support continuous monitoring and evolution of production solutions to ensure they meet stakeholder needs
  • Collaborate with different areas to translate business challenges into data-driven solutions
  • Maintain organization of routines and documentation for proposed solutions

Requirements

  • Strong conceptual and practical foundation in statistics and Machine Learning algorithms
  • Technical fluency in Python and SQL
  • Strong analytical capacity and intellectual curiosity
  • Good interpersonal communication skills
  • Proactive and organized profile with a high willingness to learn

Preferred Qualifications

  • Academic or professional experience in Data Science or Machine Learning projects
  • Mastery of Python data ecosystem libraries
  • Familiarity with Git version control
  • Experience with Cloud Computing environments
  • Interest or experience in Generative AI and Large Language Models (LLMs)
  • Knowledge of financial/operational topics such as credit, fraud, pricing, supply chain, or logistics

Benefits

  • Flash meal and/or food vouchers
  • SulAmerica health and dental insurance
  • Extended maternity and paternity leave
  • Daycare assistance
  • Health partnerships with Wellhub and Zenklub
  • Education incentives and partnerships for MBA and Post-Graduation
  • Discounts on airline tickets
  • Pet health insurance partnership
  • Access to Arco educational materials for employees' children

Skills & tools

PythonSQLMachine Learning

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Statistics and Machine Learning algorithms
  2. 02Python
  3. 03SQL
  4. 04Analytical capacity
  5. 05Communication skills
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