Senior Data Scientist at Mastercard

Short Description:

The job is for a Senior Data Scientist in Gurgaon, India, focusing on innovative data solutions and analytics across global markets. Responsibilities include creating reporting and visualization capabilities, data manipulation, and insights presentation through Power BI/Tableau. The role demands 6+ years' experience in data analytics, SQL proficiency, visualization tools, and familiarity with big data technologies, prioritizing quality, and managing diverse stakeholder needs in a fast-paced environment.

---

 

Senior Data Scientist, Digital Solutions

Location: Gurgaon, India, 122002
Employment Type: Full time
Job ID: R-206997

Our Mission

We are dedicated to fostering a global, digital economy that benefits all through secure, uncomplicated, and intelligent transactions. Our innovations empower individuals, financial institutions, governments, and businesses to reach their full potential. Our culture, guided by our Decency Quotient (DQ), promotes inclusion and values diverse perspectives. Embracing our differences, we strive to be a collaborative team that makes informed decisions, fosters innovation, and achieves superior business outcomes.

Overview:

The Data and Analytics team establishes internal analytic partnerships, focusing on business health, portfolio and revenue optimization, initiative tracking, new product development, and Go-To Market strategies.

Are you passionate about the value of Data Assets within an organization?

Do you advocate for data-driven decision-making?

Are you eager to contribute to a Global Analytics team that constructs extensive Analytical Capabilities supporting users across 6 continents?

Do you aspire to be the primary resource for data analytics in the company?

The ideal candidate possesses the ability to discern solutions within vast data sets and the business acumen to transform insights into strategic opportunities for our company.

Role:

Collaborate closely with global and regional teams to design, develop, and maintain advanced reporting and data visualization capabilities for large datasets, supporting analytics and reporting needs across products, markets, and services.

Translate business requirements into tangible solution specifications and deliver high-quality, timely results.

Establish repeatable processes to facilitate the development of modeling and reporting.

Effectively utilize tools for manipulating large-scale databases, synthesizing data insights. Provide initial insights, conclusions, and assessments, presenting findings through Power BI/Tableau dashboards, Excel, and PowerPoint.

Apply quality control, data validation, and cleansing processes to new and existing data sources.

All About You:

• 6+ years of experience in data management, data mining, data analytics, data reporting, data product development, and quantitative analysis.
• Experience in a Financial Institution or Payments environment is advantageous.
• Advanced SQL skills, with the ability to write optimized queries for large datasets.
• Proficiency in writing stored procedures, functions, and views is preferred.
• Expertise in visualization tools such as PowerBI, Tableau.
• Excellent problem-solving, quantitative, and analytical skills.
• Experience with Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud, Snowflake, and other relevant technologies.
• Exposure to Python is preferable.
• Familiarity or knowledge of design thinking and creating storylines for dashboards.
• Experience presenting data findings in a readable and insight-driven format, including building support decks.
• Demonstrated success in engaging with stakeholders to understand technical needs and ensuring analyses and solutions effectively meet their requirements.
• Ability to construct a compelling narrative on the business value of products and actively participate in sales enablement efforts.
• Capable of working in a fast-paced, deadline-driven environment as part of a team and as an individual contributor.
• Ability to seamlessly transition between business, analytical, and technical teams, articulating solution requirements for each group.
• Previous experience as a machine learning resource and proficiency with open-source tools are advantageous.

Education:

Bachelor’s or master’s degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, with an M.S./M.B.A. being preferred.

Additional Competencies:

• Strong proficiency in English, along with excellent quantitative, technical, and communication (oral/written) skills.
• Analytical and Problem-Solving skills.
• Strong attention to detail and commitment to quality.
• Creativity and Innovation.
• Self-motivated, operating with a sense of urgency.
• Project Management and Risk Mitigation.
• Ability to prioritize and handle multiple tasks simultaneously.

Corporate Security Responsibility:

Responsibilities:

All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization. Therefore, 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 accessed information.
• Report any suspected information security violation or breach.
• Complete all periodic mandatory security trainings as per Mastercard’s guidelines.

Corporate Security Responsibility:

All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization. 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.
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Please click here to apply!