Senior Data Scientist-1 Job Listing at Mastercard in Pune, MH (Job ID R-216395)

Description

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-1 Overview
The Global Business Services Center Service Management team is built upon strong contributors with leadership abilities, consulting mindsets, and strong project management skills. The group acts as an internal consultant supporting the Shared Services Organization which today supports three primary verticals: Finance, People & Capability, and Legal, Franchise & Integrity.

We are seeking a highly skilled and motivated data scientist to join our team. As a data scientist, you will be responsible for collecting, analyzing, and interpreting large and complex data sets to identify patterns and trends. You will use statistical and machine learning techniques to develop predictive models and algorithms that can be used to make informed business decisions.

Role
• Responsible for developing data-driven innovative analytical solutions and identifying opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations/decisions.
• Using automated tools and an understanding of data collection/sampling techniques to extract data from primary and secondary sources.
• Work closely with the GBSC team to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data in order to support team analytics and reporting needs across products, markets, and services.
• Effectively use tools to manipulate large-scale databases, synthesizing data insights. Provide 1st-level insights/conclusions/assessments and present findings.
• Apply quality control, data validation, and cleansing processes to new and existing data sources.
• Translate business requirements into tangible solution specifications and high-quality, on-time deliverables.
• Building machine learning models, automated data pipelines, design data architecture/schema, perform jobs in big data clusters by using different execution engines and program languages such as Hive/Impala, Python, Spark, R, etc.
• Evaluate trade-offs between many possible analytics solutions to a problem, taking into account usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision.
• Continuously innovate and determine new approaches & technologies to solve business problems and generate business insights & recommendations.
• Drive the evolution of Data & Services products/platforms with an impact focused on data science and engineering.

All About You
• Background in Mathematics, Statistics, Computer Science, Information Management, Economics, or a related field.
• At least 2 years of experience in a similar data science role.
• Strong problem-solving skills and the ability to perform in a team, use judgment, and operate under ambiguity
• You will need to be comfortable with uncertainty and able to address risks via experimentation and prototyping.
• Strong analytical skills and the ability to work with a variety of data analysis and visualization tools such as Python, R, Tableau, PowerBI, Alteryx, Domo, and SQL.
• Experience with machine learning techniques and tools such as scikit-learn, RShiny TensorFlow, or PyTorch.
• Excellent communication skills and the ability to present findings and insights to both technical and non-technical stakeholders.

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.

 Apply on company website