Data Scientist for Fraud Management

Há 4 dias

São Paulo, São Paulo, Brasil beBeeRisk Tempo inteiro R$140.000 - R$180.000

About the Role

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We are seeking a skilled Data Scientist to join our team and play a key role in safeguarding the integrity of our platform. You will leverage your data-driven expertise to identify, analyze, and mitigate emerging fraud trends.

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Using statistical analysis and creative problem-solving, you will contribute to the development of robust strategies that minimize fraud losses while ensuring operational efficiency and a seamless user experience.

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Your analytical prowess and business acumen will be instrumental in driving data-informed decisions and shaping the future of risk management at our company.

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Key Responsibilities

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  • Build sophisticated identity solutions to enable global business growth by analyzing key data assets.">
  • Develop and monitor strategic metrics and understand all underlying drivers.">
  • Design and run experiments to analyze the impact of product changes.">
  • Dive deep into data to evaluate proposed product changes and identify opportunities for improving the user experience.">
  • Collaborate with product managers, engineers, operations managers, and other business leaders to make decisions based on data insights and experiment results.">
  • Communicate findings to cross-functional peers and management.">
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Requirements

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To succeed in this role, you will need:

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  • Advanced SQL expertise.">
  • Experience launching multiple experiments (such as A/B experiments) and an understanding of experimental design and using statistical methods in exploratory analysis.">
  • Problem-solving skills.">
  • Experience with dashboarding/data visualization tools (e.g., Google Data Studio, Tableau, Mixpanel, Looker).">
  • A recent Bachelor's and/or Master's degree in Statistics, Computer Science, Economics, or a related quantitative field.">
  • 2 years of Data Science work experience.">
  • Advanced English proficiency.">
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Preferred Qualifications

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In addition to the requirements above, we are looking for candidates with:

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  • Experience improving products, understanding user journeys, and extracting insights from data.">
  • The ability to work independently.">
  • Communication and organization skills.">
  • Experience using Python or R.">
  • Familiarity with machine learning techniques (although not essential, as this role focuses on statistical analysis, fraud detection, and risk management).">
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What We Offer

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This is an exciting opportunity to join our team and contribute to the development of innovative solutions. We offer a dynamic work environment, competitive compensation, and opportunities for professional growth and development.

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About Us

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We are a leading technology company dedicated to delivering exceptional user experiences. Our mission is to provide innovative solutions that meet the evolving needs of our customers.

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