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Data Science Analyst

hace 2 meses

Ciudad de México, Ciudad de México VISA A tiempo completo
Job Description

About the Role

VISA is seeking a highly skilled Data Science Analyst to join our consulting practice and contribute to the data science team. As a Data Science Analyst, you will play a key role in addressing key strategic needs for VISA's clients, including issuers, acquirers, and merchants.

Key Responsibilities

  • Develop and deploy analytical models and techniques to drive business results and inform strategic decisions.
  • Work with large volumes of data to extract insights and inform business strategies.
  • Develop and validate advanced analytics models, algorithms, and other capabilities to solve complex business problems.
  • Enhance and optimize codes that scale critical business processes.
  • Design and develop dashboards to visualize data insights and inform business decisions.
  • Utilize VISA's data and analytic capabilities to develop and implement consulting analytical solutions.
  • Identify relevant market trends and analyze payment industry information to inform business strategies.
  • Interact with internal and external stakeholders to define analysis and initiatives.
  • Find opportunities to create and automate repeatable analysis or build streamlined solutions for business consultants and VISA's clients.
  • Continuously develop and present innovative ideas based on data-driven approaches to improve current business practices within VISA.
  • Perform client-specific analysis on portfolio data, including proprietary information.
  • Communicate complex concepts and data insights in a clear and effective manner.
  • Support the implementation of complex models and data pipelines on large datasets.
  • Document all projects developed, including clear and efficient coding.

Requirements

  • 2 years of work experience with a Bachelor's Degree (e.g., Statistics, Computer Science, Engineering, or other related fields) or at least 1 year of work experience with an Advanced degree (e.g., Masters, MBA, JD, MD).
  • 3 years of work experience with a Bachelor's Degree (e.g., Statistics, Computer Science, Engineering, or other related fields) or at least 2 years of work experience with an Advanced degree (e.g., Masters, MBA, JD, MD).
  • Experience in retail banking, payments, financial services, and/or technology industries is a plus.
  • Strong interest in the future of payments is a must.
  • Hands-on experience extracting and manipulating large datasets using standard tools such as Hadoop (Hive), Spark, Python (pandas, NumPy), SAS, SQL, etc.
  • Hands-on experience in advanced analytics and statistical modeling, including Linear Regression, Logistic Regression, Clustering methods, Classification models, etc.
  • Hands-on experience developing Machine Learning models using Python (scikit-learn), R, Spark MLlib.
  • Hands-on experience with data visualization and tools like Tableau and Power BI.
  • Translate data analysis insights to a business language.
  • Skills in project management, organizational, and presentational skills.
  • Knowledge of Agile methodology and scrum practices.
  • Proven ability to quickly learn and apply new techniques.
  • Ability to multi-task various projects while meeting required deadlines.
  • Strong teamwork, relationship management, and interpersonal skills.
  • Results-oriented.
  • Fluency in English (spoken/written).