Senior Data Scientist / Risk Analytics Specialist

Georgia IT, Inc.; Cambé; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A financial analytics firm is seeking a Senior Data Scientist Specialist in Brazil to develop advanced analytical solutions in financial products, including credit analysis. The role requires strong statistical knowledge, experience in predictive modeling, and programming skills in Python or R. Candidates must possess a Bachelor's degree in relevant fields and the ability to collaborate effectively with Product Risk and Technology teams.

Qualificações

• Bachelor's degree in a related field is required.
• Strong background in statistics and machine learning principles.
• Experience in data manipulation and analysis is essential.

Responsabilidades

• Develop custom statistical models and predictive analytics solutions.
• Improve processes and propose innovations in modeling and analysis.
• Perform data manipulation and analysis of large datasets.
• Collaborate with teams to transform data into actionable insights.

Conhecimentos

Statistics

Machine learning

Data manipulation

Python

R

Formação académica

Bachelor's degree in Statistics, Mathematics, Engineering, Physics or related fields

Descrição da oferta de emprego

Overview

We are looking for a Senior Data Scientist Specialist to develop advanced analytical solutions focused on financial products such as credit analysis loans and credit cards. This professional will be responsible for creating customized statistical models applying machine learning techniques and driving innovations that enhance data driven decision making.

Responsibilities

• Develop custom statistical models and predictive analytics solutions to support business strategies
• Continuously improve processes and propose innovations in modeling and analysis
• Perform data manipulation exploration and analysis of large datasets
• Collaborate with Product Risk and Technology teams to transform data into actionable insights

Qualifications

• Education: Bachelor\'s degree in Statistics Mathematics Engineering Physics or related fields
• Strong knowledge of statistics and machine learning principles
• Proven experience in data manipulation and analysis
• Previous experience in predictive modeling
• Solid programming skills e.g. Python or R
• Understanding of the credit lifecycle and financial products