Data Science Manager

Há 6 dias

São Paulo, São Paulo, Brasil VISA Tempo inteiro
Job Description and Responsibilities

Overview

VISA is seeking a highly skilled Data Science Manager to join our team. As a Data Science Manager, you will be responsible for developing and deploying analytical models and techniques within the organization and VCA's clients, including issuers, acquirers, and merchants.

Key Responsibilities

  • Develop and grow exceptional internal client relationships to drive business growth and improve customer satisfaction.
  • Design and implement advanced data mining tools, algorithms, and capabilities to solve complex business problems.
  • Work with large volumes of data to extract, manipulate, and analyze data sets using standard tools such as Hadoop Ecosystem, PySpark, SAS, Presto, SQL, etc.
  • Develop and validate predictive models to identify relevant market trends and opportunities.
  • Collaborate with cross-functional teams to develop and implement data-driven solutions that drive business growth and improve customer satisfaction.
  • Communicate complex data insights and results to stakeholders in a clear and effective manner.
  • Support the development and implementation of data governance policies and procedures.
  • Stay up-to-date with industry trends and emerging technologies to ensure VISA remains at the forefront of data science and analytics.

Qualifications

  • 5 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD.
  • Strong interest in the future of payments and a deep understanding of the payments industry.
  • Experience in retail banking, payments, financial services, and/or technology industries.
  • Prior proven experience in Credit Risk or Fraud Prevention to manage and develop policies, ad-hoc analysis or models.
  • Proven Hands-on experience in advanced analytics and statistical modeling including Linear Regression, Logistic Regression, Clustering methods (e.g. K-means), Classification methods (Decision Trees/Random Forest), among others.
  • Experience working with large volumes of data (Big Data) - extracting, cleaning and manipulating large datasets using standard tools such as Python/PySpark, SQL, Hadoop/Hive, Presto, SAS, etc.
  • Knowledge of visualization tools such as Tableau or PowerBI.
  • Excellent project management, organizational and presentational skills.
  • Strong teamwork, relationship management and interpersonal skills.
  • Ability to multi-task various projects while meeting required deadlines.
  • Fluency in English (spoken/written), Spanish is a plus.

Additional Information

VISA is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. VISA will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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