Director, Data Scientist

MasterCard; Vancouver; On-site; CAD 120,000 - 160,000; Full time

Job summary

Mastercard is seeking a Director, Data Scientist in Vancouver to advance data science capabilities within the company. This role involves creating actionable insights through innovative modeling and collaboration, requiring strong leadership and a technical background in data analysis. The ideal candidate will have an advanced degree and proven experience in machine learning and NLP, alongside exceptional communication and problem-solving skills.

Qualifications

• Experience analyzing large data sets to identify trends.
• Proficient in Python and building collaborative filtering systems.
• Advanced degree in Data Science, Mathematics, or similar field.

Responsibilities

• Build product recommendation models.
• Develop NLP models from unstructured data.
• Collaborate on MLOps pipeline improvements.

Skills

Problem Solving

Customer Relationship Management

Communication

Leadership

Creativity

Curiosity

Education

Advanced degree in quantitative discipline

Tools

Python

AWS

UNIX

Databricks

Hadoop

React.js

Job description

Job Title:

Director, Data Scientist

Overview:

Who is Mastercard?

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.

Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution.

The Security Solutions team is looking for a Director in Vancouver to drive our data science capabilities forward by consistently innovating and problem-solving.

Role

The Director, Data Scientist will be a key contributor in helping Mastercard develop and deliver actionable insights and products to safeguard the Mastercard payment network. Specifically, the director will:
• Build product recommendation models to help sales team identify what to sell to whom
• Develop NLP models to turn unstructured data into actionable insights
• Collaborate with engineering partners and continue to improve MLOps pipelines for CI/CD

All About You

We are pursuing a highly motivated individual who has strong customer relationship management and problem solving skills. This individual should be self-driven, have strong achievement orientation, curiosity, and the ability to research, innovate, and lead other data scientists to the newest and most efficient technologies.

Technical Skills
• Proven experience analyzing large amounts of data to identify trends and gain insights
• Proficient with Python
• Experience with hands-on building collaborative filtering recommender systems
• Knowledge of React.js desired
• Experience preparing presentations for management/clients that present insights clearly and efficiently.
• Experience working with big-data database platforms to manipulate and extract information for analysis (e.g., Databricks, Hadoop).
• Experience using AWS desired.
• Comfortable working with multiple languages and operative systems.
• Familiarity and experience with UNIX highly desired.

Business Skills
• Strong communication, collaboration, and leadership ability
• Subject matter expertise in payments, cards, and /or fraud or proven ability to learn and master new subject matter areas.
• Creativity, curiosity, and innovation
• Ability to think outside the box and constantly strive for more accurate and efficient ways to perform tasks.
• Experience developing new products/services.
• Ability to combine knowledge across multiple disciplines to solve problems.
• Ability to clearly articulate results of analyses, in writing and verbally, and to work effectively with all levels within the organization.
• Excellent inter-personal skills, able to work with colleagues remotely as well as in-person.

Education
• Advanced degree in quantitative discipline preferred (e.g., Data Science, Mathematics, Statistics, Computer Science, or Engineering).
• Demonstrated track record in data analysis, machine learning, NLP, and visualization.

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