Data Scientist II
Mastercard
Pune, Maharashtra, India
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 Data Scientist II Data Scientist II 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 • Manipulates large data sets and applies various technical and statistical analytical techniques to draw insights from large data sets. • Collates, structures, and cleanses large client data sets to be fed into downstream analytics. • Write complex SQL queries & conduct data analysis to address different questions to support business case studies and ad-hoc requests. • Participate and lead data quality initiatives. • Participate and lead in building process in data quality and cleaning activities. • Participate and lead data cleaning, validation, and labelling initiatives. • Assist with data R&D work as delegated by senior level colleagues. • Support in building models and algorithms. • Meets project deadlines for accountable deliverables and anticipates delays or foreseeable barriers to progress, escalating issues when necessary. • Conducts due diligence quality assurance testing for prototypes and tools in beta and resolves reoccurring complex issues and bugs experiences All About You • Strong background in SQL • Comes up with new approaches to solve problems • Curious & ask questions • Not afraid to ask questions Skills Python SQL, SAP HANA, Hadoop, Snowflake databases Linux, Azure environment, Azure Machine Learning, Databricks, Apache Spark (PySpark/Scala) 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.
