Our Purpose

We work 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. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title and Summary

Senior Data Scientist

Our Purpose
We work 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. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results.

Ethoca a Mastercard company is seeking a Senior Data Scientist to join our Enterprise Information Management team who is a self-starter to work in a diverse and fast-paced environment. This is an individual contributor role that is responsible for developing and supporting of data enabled solutions that are strategic for the business and built on the latest technologies. You will be part of the Ethoca Data Science team that is working on interesting challenges which will directly impact the product.

Responsibilities
• Independently manages and manipulates large data sets and applies various technical and statistical analytical techniques to draw insights from large data sets.
• Communicates with client counterparts to ensure customer needs are being addressed when designing data analyses and technical solutions.
• Reviews and applies complex analytical techniques or tools to draw meaningful and insightful observations and trends from large/ complex data sets.
• Develops sophisticated data models and analytic solutions (e.g., dashboards, prototypes), utilizing complex statistical and data science techniques and methods.
• Independently manage and apply multiple AI/ML models to different data sets to improve data quality.
• Support in re-training/refresh of ML models.
• Support and lead in building models and algorithms.
• Participate and lead data quality initiatives and assist in building data quality process where needed.
• Write complex SQL queries & conduct data analysis to address different questions to support business case studies and ad-hoc requests.


Experiences
• Strong background in SQL
• Demonstrated ability to combine, interrogate, and manipulate large data sets.
• Extensive experience leveraging open-source tools, predictive analytics, machine learning, and other data techniques to perform complex analyses for project work.
• Consistently delivered accurate, technically advanced, and valid analyses with impactful insights and conclusions
• Demonstrated success when deciding on technical methodologies for project work
• Consistently delivered accurate, technically advanced, and valid analyses with impactful insights and conclusions
• Participate and lead data quality initiatives.
• Served as an expert resource or go-to person for a specific consulting tool(s), system(s), data sets and/or application(s).


Skills
Python, R Programming
SQL, Snowflake SQL, SAP HANA, and Hadoop
Linux, Azure environment, Azure Machine Learning, Apache Spark (PySpark/Scala)

Masters in computer science/STEM area is preferable. B.Tech/B.E/BS in computer science or quant is required.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;

• Ensure the confidentiality and integrity of the information being accessed;

• Report any suspected information security violation or breach, and

• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.