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Creditas is seeking a Senior Data Scientist to join its team in São Paulo. The company is a financial services platform offering loans, insurance, and investments.

The Senior Data Scientist will be responsible for developing and implementing statistical and machine learning models, analyzing large datasets, collaborating with engineering, product, and business teams, monitoring and optimizing models, and mentoring junior data scientists.

Responsibilities involve:

  • Developing and implementing statistical and machine learning models.
  • Analyzing large datasets to identify patterns and trends.
  • Collaborating with teams to integrate models into platforms.
  • Monitoring and optimizing models for accuracy and efficiency.
  • Leading and mentoring junior data scientists.

Requirements include:

  • Solid experience in manipulating large volumes of data.
  • Experience in programming (Python, R, SQL) and using data science tools (TensorFlow, Scikit-learn, etc.).
  • Strong analytical skills and critical thinking.
  • Proactivity and ability to work independently.
  • Excellent communication skills.

Creditas offers:

  • Health and dental plans.
  • Life insurance.
  • Corporate university.
  • Well-being benefits.
  • Childcare assistance.
  • Flexible work model.
  • Transportation and meal vouchers.
  • Pharmacy benefits.
  • Consigned loan.
  • Salary anticipation.
  • Financial education program.
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Creditas

Creditas is a Latin American digital platform focused on enhancing lives through auto, real estate, and employee benefits ecosystems. It delivers diverse financial products and services, including fintech solutions, digital insurance, and consumer solutions, leveraging proprietary technology for a unique user experience. Its credit portfolio encompasses mortgage, auto, and payroll loans, while its digital insurance branch operates as Brazil's largest independent broker in partnership with numerous carriers. Founded in 2012, Creditas employs over 2,500 people across offices in São Paulo, Valencia, and Mexico City.