Mastercard

Senior Data Scientist – Data & Analytics

Mastercard

Gurugram, Haryana, India
Full-TimeDepends on ExperienceSenior LevelPhd or Professional
Job Description

At Mastercard, data is the key to unlocking the possibilities of the global payments industry. We are looking for a highly motivated and experienced Senior Data Scientist – Data & Analytics to join our growing team and help us use data to revolutionize the payments industry.The ideal candidate is a collaborative and creative problem-solver who is passionate about data, analytics, and innovation. The Senior Data Scientist – Data & Analytics will be responsible for developing and implementing cutting-edge data-driven solutions to address our customers’ and partners’ needs. This is an excellent opportunity to join an innovative and driven team, and to make an impact on the future of payments.The successful candidate will need to have a broad understanding of data science, analytics, software engineering, and machine learning. A strong background in data-driven solutions, algorithm development, and data engineering is essential. An ability to develop and maintain relationships across teams, as well as excellent verbal and written communication skills, is also a must.We are looking for someone with:• A Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics or a related field• At least 5 years of experience in a data science or analytics role• Strong experience with data analysis and visualization tools (e.g., Tableau, Power BI, etc.)• Extensive experience with SQL and NoSQL databases• Proven experience with programming languages such as Python, R, and/or Java• Experience with machine learning and artificial intelligence• Knowledge of software engineering best practicesIf you have the skills and experience we are looking for, we want to hear from you. Join us and help us revolutionize the payments industry!

Where is this job?
This job is located at Gurugram, Haryana, India
Job Qualifications
  • Engineering

  • Or Related Field

  • Mathematics

  • Predictive Modeling

  • Machine Learning

  • Bachelor's Degree In A Quantitative Field Such As Computer Science

  • Or Statistics

  • + Years Of Experience In Data Mining

  • Predictive Analytics

  • Proven Experience In Developing And Implementing Advanced Analytics Solutions

  • Expertise In Statistical Data Analysis

  • Data Preparation

  • And Data Visualization

  • Knowledge Of Data Mining Techniques Such As Classification

  • Clustering

  • And Text Mining

  • Experience With Big Data

Required Skills
  • Business Intelligence

  • Data Analysis

  • Data Security

  • statistical analysis

  • Database Management

  • Big Data

  • Data Modeling

  • Machine Learning

  • Data warehousing

  • Data Visualization

  • Cloud Computing

  • Data Mining

  • Analytics

  • AI

  • Programing

Soft Skills
  • Communication

  • Decision Making

  • Leadership

  • Negotiation

  • Problem Solving

  • Time management

  • Interpersonal Skills

  • creativity

  • Teamwork

  • Adaptability

Compensation

According to JobzMall, the average salary range for a Senior Data Scientist – Data & Analytics in Gurugram, Haryana, India is between ₹1,000,000 and ₹3,000,000 per year. This range can vary depending on the experience of the candidate, the size of the organization, and the specific skills and qualifications required for the job.

Additional Information
Mastercard is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesHindi
Job PostedApril 28th, 2023
Apply BeforeJuly 20th, 2025
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About Mastercard

Mastercard is a leader in global payments and a technology company that connects billions of consumers, thousand of financial institutions, and millions of merchants, as well as governments and businesses around the world.

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