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Manager, Data Scientist

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We are looking for an innovative Data Scientist to develop data-driven solutions and enhance products for our customers. You will collaborate with internal and external partners to translate business needs into technical analyses and present findings to stakeholders. Responsibilities include developing predictive models, conducting profitability analyses, and generating data visualizations. As a mentor, you will guide junior colleagues and contribute to peer reviews. Join our team and be a part of a global technology company driving innovation and inclusive growth. Apply now!

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

Manager, Data Scientist

Overview

We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.

Our team within Mastercard – Data & Services:

The Data & Services team is a key differentiator for Mastercard, providing the cutting-edge services that are used by some of the world's largest organizations to make multi-million dollar decisions and grow their businesses. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services.


Advanced Analytics & AI Program

Within the D&S Technology Team, the Advanced Analytics and AI program is a relatively new program that is comprised of a rich set of products that provide accurate perspectives on Credit Risk, Portfolio Optimization, and Ad Insights. Currently, we are enhancing our customer experience with new user interfaces, moving to API-based data publishing to allow for seamless integration in other Mastercard products and externally, utilizing new data sets and algorithms to further analytic capabilities, and generating scalable big data processes.

We are looking for an innovative Data Scientist who will partner closely with other areas of the business to help design and enhance products that drive value for our customers.

Overview
• 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
• Activities include developing and creating predictive models, behavioral segmentation frameworks, profitability analyses, ad hoc reporting and data visualizations

Responsibilities
• Contributes to the development of custom analyses and solutions, derives insights from extracted data to solve critical business questions
• Translates client/ stakeholder needs into technical analyses and/or solutions in collaboration with internal and external partners and presents findings and outcomes to clients/stakeholders
• Generate QC Audit reports that validate extracted data and the results derived from them
• Accountable for delivering high quality project solutions and tools within agreed upon timelines and budget parameters and conducting post- implementation reviews
• Serves as a primary point of contact for client managers and liaises frequently with internal stakeholders to gather data or inputs needed for project work
• Delegates and reviews work for junior level colleagues to ensure downstream applications and tools are not compromised or delayed
• Serves as a mentor for junior-level colleagues, and develops talent via ongoing technical training, peer review etc.

Experiences
• Demonstrated success when contributing accurate, technically innovative components for analytics/ product development projects
• Experience managing day-to-day cross-functional communications and collaboration to meet project deadlines
• Demonstrated success collaborating with clients and effectively communicating project outcomes, methodologies, and considerations to key stakeholders
• Successful track record in independently conducting complex analyses and guiding junior team members through complex/ ambiguous issues
• Successful track record quality checking personal work and peer reviewing analyses of junior team members

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.

Set alert for similar jobsManager, Data Scientist role in Pune, India
Mastercard Logo

Company

Mastercard

Job Posted

a year ago

Job Type

Full-time

WorkMode

On-site

Experience Level

3-7 years

Category

Data Science

Locations

Pune, Maharashtra, India

Qualification

Bachelor

Applicants

Be an early applicant

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