Job Title

People Analytics Data Scientist

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.

Overview

This role is within the Workforce Analytics & Innovation team, which has the responsibility to leverage internal and external insights to develop, support and/or execute initiatives that enable Mastercard’s people to power mastercard’s strategic priorities and drive innovation within People & Capability (P&C).

We are looking for a data scientist who does not only have a passion for data science, but also strongly wants to see the impact of their work in the business. As a data scientist, you’ll be on the leading edge of applying analytics to problems within P&C, combining advanced analytics, machine learning and social science to advance the business with insights about our most important assets: our people and culture.

Role

• As a Data Scientist on the team, your main responsibilities may include, but are not limited to:
• Leverage advanced analytical techniques such as natural language processing, machine learning, organisational network analysis and more — to reveal the insights hidden within structured and unstructured data sources.
• Develop algorithms and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
• Develop end-to-end scalable data science solutions and insights to business problems.
• Ability to develop a nuanced business understanding, testable hypotheses, and meaningful findings from data – able to find the story in the data.
• Collaborate closely with other team members to identify and execute opportunities for advanced analytical projects within HR (including strategic workforce planning, skills strategy, employee experience).
• Staying on top of current trends/research in data science research and technology.
• Demonstrates exceptional judgment and discretion when dealing with highly sensitive people data.

• You are able to use scripting languages like Python, R and SQL to work efficiently at scale with structure and unstructured data sets.
• You are able to develop end-to-end analytical solutions, from ETL to model building, and deployment to performance monitoring.
• You have demonstrated knowledge and experience of deriving insights from data with Python or R
•  Experience in applying statistical and machine learning models to a variety of problems.
•  Working knowledge of applying Python frameworks, libraries (e.g., scikit-learn, Numpy, Scipy, Pandas) and NLP libraries such as Spacy, NLTK and Gensim.
•  Ability to employ data extraction techniques to unstructured noisy data.
•  Knowledge of text analytics and natural language processing