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Inter Carreiras

Digital bank and multi-vertical Super App

Data Scientist 3 - Growth / CRM

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBelo Horizonte, State of Minas Gerais, BrazilNo salary listedIn-person

About the Job

Requirements

  • Strong knowledge applying statistics and machine learning to build solutions using large volumes of data.
  • Proficiency in SQL.
  • Experience implementing end-to-end data science projects.
  • Proficiency in Python and libraries including pandas, scikit-learn, NumPy, Matplotlib, Seaborn, XGBoost, and LightGBM.
  • Experience with Apache Spark for processing large volumes of data.
  • Knowledge of model versioning.
  • Strong communication, teaching, and presentation abilities.

Responsibilities

  • Develop data science solutions by exploring large data volumes and applying statistical and machine learning models focused on customer insights.
  • Implement and productionize developed models, clearly present results to stakeholders, and monitor production performance.
  • Validate hypotheses through experiments and appropriate tests.
  • Collaborate with business areas to create practical solutions that generate direct business impact.
  • Work with data engineers and analysts on multidisciplinary projects to build robust solutions.
  • Support the technical development and growth of junior and mid-level team members by sharing knowledge and experience.

Desired Qualifications

  • Experience building solutions using generative artificial intelligence and following good practices.
  • Experience with recommendation systems and optimization algorithms.

About the Company

Inter Carreiras

Digital bank and multi-vertical Super App

Inter Carreiras oversees Banco Inter, a digital bank that runs a single Super App uniting seven services. The app provides digital banking, zero-fee investing from $5, credit, insurance brokerage, cross-border payments to 60+ countries, an Inter Shop marketplace with cashback, and a loyalty program for over 40 million customers in the Americas. Revenue comes from loan interest, merchant fees, asset management, insurance premiums, and marketplace commissions, and the platform supports US mortgage financing. Its strength is a tightly integrated, multi-vertical ecosystem in one app, plus broad cross-border capabilities and a blended monetization model; the goal is to scale this all-in-one platform across the Americas and grow in the US market.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Brazil
Founded
1994

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