Senior Data Analyst

Há 18 horas

Brasil beBeeFraudPrevention Tempo inteiro US$2.500.000 - US$4.000.000

Data Scientist for Fraud Prevention

We're seeking a skilled Data Scientist to lead our fraud prevention efforts. The ideal candidate will have expertise in machine learning, data analysis, and programming skills.

  • The successful applicant will be responsible for developing and implementing real-time fraud scoring models to identify and prevent fraudulent activities.
  • They will also optimize user onboarding by building predictive chargeback models using internal and third-party data.
  • Furthermore, they will transform our rule engine into a dynamic and conditional graph-based rule engine, enabling more intelligent and adaptable fraud rule management.
  • The role involves implementing fingerprinting and geographic tracking solutions to improve fraud detection and prevention at the account level.
  • The Data Scientist will drive the adoption of new technologies, such as Databricks and Data Catalogue, in the Fraud team, advocating for best practices and facilitating the transition to a more modern and efficient data environment.
  • Additionally, they will analyze large volumes of transactional, user behavior, and demographic data to identify patterns, trends, and opportunities for improvement in fraud prevention.
  • Mentorship and technical leadership are also key aspects of this role, as the successful applicant will guide and mentor junior team members, sharing their experience and knowledge, and leading key projects from a technical perspective.

Key Responsibilities:

  • Developing and implementing real-time fraud scoring models
  • Optimizing user onboarding through predictive chargeback models
  • Transforming our rule engine into a dynamic graph-based rule engine
  • Implementing fingerprinting and geographic tracking solutions
  • Driving technology adoption in the Fraud team
  • Analyzing data to identify patterns and opportunities for improvement
  • Mentoring junior team members

Requirements:

  • Demonstrable experience in building and implementing machine learning models for fraud and transaction risk prevention
  • Deep knowledge of classification, regression, and clustering algorithms, as well as feature engineering and model selection techniques
  • Strong programming skills in Python, SQL, and Spark
  • Experience with big data platforms like Databricks and AWS
  • Knowledge of relational databases (PostgreSQL) and messaging tools (Kafka, SQS)
  • Ability to communicate complex ideas clearly and concisely to technical and non-technical audiences
  • Analytical mindset and results-oriented, with a strong focus on problem-solving
  • Passion for innovation and experimentation
  • Knowledge of data modeling principles and experience in building robust and scalable data models
  • Strong mathematical skills and ability to optimize complex problems
Bonus Points:
  • Experience with graph-based rule engines
  • Knowledge of fingerprinting and geographic tracking techniques

About Us:

We're a company that values diversity, inclusion, and creativity. We believe that diverse perspectives and experiences make us stronger and more innovative.

Benefits:

  • Competitive salary
  • Remote work options
  • Home office allowance
  • Health and dental plans
  • Life insurance
  • Flexible meal allowance
  • TotalPass membership
  • Language classes

What We Offer:

We offer a dynamic and supportive work environment, opportunities for professional growth and development, and a competitive compensation package.

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