Data Scientist

At Popular, we offer a wide variety of services and financial solutions to serve our communities in Puerto Rico, United States & Virgin Islands. As employees, we are dedicated to making our customers dreams come true by offering financial solutions in each stage of their life. Our extensive trajectory demonstrates the resiliency and determination of our employees to innovate, reach for the right solutions and strongly support the communities we serve; therefore, we value their diverse skills, experiences and backgrounds.

Are you ready for a rewarding career?

Over 8,000 people in Puerto Rico, United States and Virgin Islands work at Popular.

Come and join our community!

Job Type

Full-Time Position
Remote / Hybrid work available.

General Description

An employee with the Data Scientist role is responsible for modeling complex problems, discovering insight, identifying opportunities using statistics, machine learning and visualization techniques, and productionalizing such solutions. The data scientist will have the responsibility of deploying the MLOps pipelines and processes. In addition, a Data Scientist in the Artificial Intelligence team will lead AI research and implementation.

Essential Duties and Responsibilities

Work with stakeholders throughout Popular to identify opportunities for leveraging company data to drive business results and strategize to implement them in production.
Analyze data for trends and patterns.
Develop data models and algorithms best suited to particular scenarios.
Assess the effectiveness of the data model
Clearly communicate the results of analysis and potential outcomes of models to key decisions makers
Coordinate with different functional teams within Popular the implementation of data models
Develop processes and tools to monitor and analyze model performance and data accuracy.
Create and manage AI standards and governance.
Research and implement new AI trends and technologies.

Experience

Strong experience using Python, R, or another programming language to manipulate data, visualize, and draw insights from large data sets.

Strong knowledge of a variety of machine learning techniques (SVM, decision trees, random forest, neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical testing, etc.).
Knowledge of relational databases and SQL
Knowledge of Machine Learning / statistical frameworks, such as Jupyter, AWS, Azure ML, Knime, SAS, Strata, etc.
Experience with MLOps standards and processes
Experience deploying data science or machine learning models into AWS
Experience with visualization tools such as Excel, PowerBI, Tableau, etc.

Education

Bachelor’s / master’s degree in:

Computer Science
Engineering
Statistics
Mathematics
Related field

Competencies

Accountability
Analytical Discipline
Business Excellence

Change Agent
Character
Collaboration & Teamwork
Customer Centric
Self-Development

Important: The candidate must provide evidence of academic preparation or courses related to the job posting, if necessary.

If you have a disability and need assistance with the application process, please contact us asesorialaboral@popular.com. This email inbox is monitored for such types of requests only. All information you provide will be kept confidential and will be used only to the extent required to provide needed exemptions or reasonable accommodations. Any other correspondence will not receive a response.

As Puerto Rico’s leading financial institution, we reaffirm our commitment to always offer essential financial services and solutions for our customers, including during emergency situations and/or natural disasters. Popular’s employees are considered essential workers, whose role is critical in the continuity of these important services even under such circumstances. By applying to this position, you acknowledge that Popular may require your services during and immediately after any such events.

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Popular is an Equal Opportunity Employer

Learn more about us at www.popular.com and keep updated with our latest job postings at www.jobs.popular.com.

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