Senior Machine Learning Scientist

Job Description

Visa is seeking a Senior Machine Learning Scientist to join our team in Warsaw. This role involves conducting advanced research in data analytics and machine learning, contributing to Visa's strategic products and business. You will work on building a new product suite for Visa’s real-time payments options, focusing on fraud management and utilizing the latest in Machine Learning & Deep Learning technologies.

Key Responsibilities

Formulate business problems as technical data problems, ensuring key business drivers are collected in collaboration with product stakeholders.
Work with product engineering to ensure the implementability of solutions.
Deliver prototypes and production code as needed.
Experiment with in-house and third-party data sets to test hypotheses on the relevance and value of data to business problems.
Build necessary data transformations on structured and unstructured data.
Develop and experiment with modeling and scoring algorithms, including custom algorithms and packaged tools based on machine learning, analytics, and statistical techniques.
Devise and implement methods for adaptive learning with controls on efficiency, model validation, A/B testing of models, and automation of predictive pipelines.
Contribute to the development and adoption of shared predictive analytics infrastructure.

Qualifications

Basic Qualifications:

2+ years of relevant work experience and a Bachelor's degree, OR 5+ years of relevant work experience.

Preferred Qualifications:

Master's in Computer Science, Operations Research, Statistics, or a highly quantitative field with strength in Deep Learning, Machine Learning, Data Analytics, or Statistical Analysis.
Experience with modeling techniques such as logistic regression, Naïve Bayes, SVM, decision trees, or neural networks.
Proficiency in scripting languages such as Perl or Python and programming languages such as Java, C++, or C#.
Experience with statistical tools such as SAS, R, KNIME, MATLAB.
Experience with TensorFlow and Natural Language Processing is a plus.
Experience working with large datasets using tools like Hadoop, MapReduce, Pig, or Hive is a plus.
Publications or presentations in recognized Machine Learning and Data Mining journals/conferences are a plus.

Work Environment

This is a hybrid position. Employees can alternate time between remote and office work, with an expectation to be in the office two days a week, typically Tuesdays and Wednesdays.

Additional Information

Visa is an Equal Employment Opportunity 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.

Benefits
Extracted with AI

Equal Employment Opportunity
Hybrid work model
Professional development opportunities

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