Mastercard is looking for Data Scientist/ Data Engineer in Pune, Gurgaon, India. Candidates with a Bachelor’s or Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
Company Name | Mastercard |
Position | Data Scientist/ Data Engineer |
Qualifications | Bachelor’s/ Master’s Degree/ MBA |
Batch | 2018/ 2019/ 2020/ 2021/ 2022/ 2023/ 2024 |
Experience | Freshers (0 – 1 Years) |
Location | Pune, Gurgaon, India (Hybrid) |
Key Responsibilities for Data Scientist:
- Collaborate with global acceptance teams to design, build, and sustain advanced reporting and data visualization features for extensive datasets, facilitating analytical and reporting requirements across various products, markets, and services.
- Translate business needs into concrete solution specifications and deliver high-quality results on time.
- Utilize tools proficiently to manipulate large-scale databases, extracting meaningful insights. Present findings through Tableau/PowerBI dashboards, Excel, and PowerPoint.
- Implement quality control measures, data validation, and cleansing processes for both new and existing data sources.
Key Responsibilities for Data Engineer:
- Spearhead the advancement of Data & Services products/platform, emphasizing the impact on data science and engineering.
- Contribute to the development of data and analytic infrastructure for product development.
- Collaborate in identifying and evaluating data elements crucial for delivering analytics in support of product development.
- Constantly innovate and explore new approaches and technologies to address business challenges, generating valuable insights and recommendations.
- Collaborate with various roles across the organization, including consultants, engineering, and sales, to prioritize and address key business problems.
Eligibility Criteria:
- Hold a Bachelor’s or Master’s Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, with a preference for M.S./M.B.A. qualifications.
- Proficient in data management, data mining, data analytics, data reporting, data product development, and quantitative analysis.
- Preferred experience in Financial Institution or Payments.
- Demonstrated ability to present data findings in a readable and insight-driven format, with expertise in building professional PowerPoint decks.
- Advanced proficiency in SQL coding.
- Experience with Platforms/Environments such as SQL Server, Microsoft BI Stack, Python.
- Background in building data models is a positive.
- Familiarity with data visualization tools like Tableau and PowerBI, with Tableau Certification considered a plus.
- Exposure to Hadoop environments is beneficial.
- Excellent problem-solving, quantitative, and analytical skills.
- In-depth technical knowledge, a drive to learn new technologies.
- Strong attention to detail and commitment to quality.
- Effective team player with excellent communication skills.
- Ability to interact with management, internal stakeholders, and gather requirements.
- Capable of performing in a team, exercising judgment, and operating under ambiguity.
Preferred skills:
- Possess excellent English language, quantitative, technical, and both oral and written communication skills.
- Demonstrate strong analytical and problem-solving abilities.
- Exhibit a keen attention to detail and a commitment to quality.
- Capable of working effectively in a global team environment.
- Self-motivated and able to operate with a sense of urgency.
- Skilled in project management and risk mitigation.
- Ability to prioritize and handle multiple tasks simultaneously.
About Company:
Mastercard is a global technology company in the payments industry. Our mission is 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. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
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