Data Scientist at Mastercard

📋 Job Details at a Glance 📍 Location Gurgaon, India 🏢 Company Mastercard 👥 Experience Experienced Professionals 🎓 Qualification B.E / B.Tech 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary As per Company Policy 🏢 Industry Technology 🛠 Key Skills Communication Skills Problem Solving Basic Computer Knowledge Data Scientist at Mastercard — Full Details & How to Apply Mastercard is seeking a talented Data Scientist to join our innovative team in Gurgaon, India . This role offers a unique opportunity to shape data-driven solutions in a leading technology company, where your insights can directly influence decision-making processes and enhance customer experiences. In today's data-centric world, the role of a Data Scientist is pivotal. As organizations increasingly rely on data to drive business decisions, the demand for skilled professionals in this field is skyrocketing. With the rise of big data and advanced analytics, the ability to extract actionable insights from complex datasets is more critical than ever. This is where you come in; your expertise will help shape the future of technology and innovation. Mastercard stands out as a leader in the technology industry, providing a collaborative environment that fosters creativity and growth. With a commitment to innovation, Mastercard invests heavily in cutting-edge technologies and methodologies, ensuring that its Data Scientists are equipped with the tools and resources necessary to succeed. The company’s focus on diversity and inclusion further enhances its workplace culture, making it an ideal setting for professionals eager to make a meaningful impact. This opportunity is ideal for both fresh graduates and experienced professionals looking to advance their careers in a globally recognized company. Candidates must hold a B.Tech, B.E., MCA, or M.Tech degree and should be from the eligible batches: 2023, 2024, 2025, and 2026 . A minimum of 60% aggregate in academics is preferred, and prior internship or hands-on project experience will be a strong advantage. As a Data Scientist at Mastercard , you will gain invaluable experience in cloud architecture , production-grade Java development , and Agile workflows . You will also enhance your problem-solving and communication skills , making you a well-rounded professional in the tech industry. This role not only offers a competitive salary but also provides opportunities for rapid career advancement within a Fortune 500 company. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. If you're ready to take the next step in your career, apply online for this Data Scientist position at Mastercard today! Job Role & Responsibilities The role of a Data Scientist at Mastercard is pivotal in transforming complex datasets into actionable insights that drive business strategies and enhance product development. As part of a dynamic team, you will leverage advanced analytics to optimize operational efficiency and contribute to data-driven decision-making. Analyze complex datasets to derive actionable insights that inform business strategies and product development at Mastercard . Utilize advanced analytics tools such as Python , R , and SQL to build predictive models and algorithms that enhance operational efficiency. Collaborate with cross-functional teams , including product management and engineering, to integrate data solutions into existing systems. Measure and report on the effectiveness of data-driven initiatives , ensuring alignment with business objectives and KPIs. Take ownership of data projects, guiding them from conception through to implementation while fostering a culture of continuous learning . Document findings and present data insights to stakeholders, ensuring clarity and understanding of complex data narratives. Innovate and troubleshoot data-related challenges, employing problem-solving skills to enhance data accuracy and relevance. Engage in regular training sessions to stay updated with the latest trends in data science and analytics. In this role, you will embody a culture of ownership, driving projects forward and making a significant impact on Mastercard's data strategy and overall business success. Required Skills & Technical Competencies The ideal candidate for the Data Scientist position at Mastercard should possess a robust skill profile that combines technical expertise with strong analytical capabilities. This role demands proficiency in data analysis and the ability to communicate insights effectively. Technical Skills Python (Intermediate) — employed for data manipulation and building machine learning models. R (Intermediate) — utilized for statistical analysis and data visualization. SQL (Advanced) — essential for querying large datasets and managing databases. Tableau (Basic) — used for creating interactive data visualizations to present findings. Machine Learning (Basic) — foundational knowledge in algorithms for predictive analytics. Data Cleaning (Intermediate) — skills in preprocessing and ensuring data quality. Soft Skills & Professional Competencies Strong communication skills — necessary for translating complex data insights into actionable recommendations. Problem-solving abilities — critical for tackling data challenges and developing innovative solutions. Teamwork — essential for collaborating effectively within cross-functional teams . Adaptability — vital for thriving in a fast-paced and ever-evolving environment. Good to Have (Bonus) Power BI — familiarity with this tool enhances data presentation skills. Git — knowledge of version control for collaborative projects. Cloud Computing — understanding of platforms like AWS for data storage and processing. To effectively showcase these skills in your resume or interview, emphasize relevant projects, internships, and any certifications in data science or analytics that demonstrate your capabilities in real-world applications. Eligibility Criteria This role is designed for candidates who are eager to embark on a career in data science, particularly those who have a strong academic background and relevant skills. Mastercard welcomes both fresh graduates and experienced professionals. Candidates must hold a B.E or B.Tech degree in relevant fields such as Computer Science, Information Technology, or Data Science. Eligible batches include 2023, 2024, 2025, and 2026 passouts. A minimum CGPA of 7.0 is preferred, reflecting a solid academic foundation. Both freshers and experienced professionals are welcome, with a preference for candidates who have demonstrated analytical skills. Projects or certifications in data science, machine learning, or analytics will strengthen your application. Prior internship or hands-on project experience is a strong advantage. Documentation & Portfolio Requirements Prepare a well-structured resume highlighting your academic achievements, relevant projects, and any certifications. A GitHub portfolio showcasing your data analysis work or machine learning projects can significantly enhance your application. Pro Tip: Tailor your resume to highlight specific skills and experiences that align with the Data Scientist role at Mastercard to improve your application success rate. Salary & Benefits 💰 Compensation As per Company Policy The compensation philosophy at Mastercard emphasizes offering a competitive salary that reflects the value of your skills and experience as a Data Scientist . This approach ensures that employees feel valued and motivated, fostering a culture of excellence and innovation. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — contributions to Provident Fund and pension schemes Performance Bonus — annual performance-based bonuses to reward exceptional contributions Paid Time Off — generous leave policies including vacation, sick leave, and holidays Flexible Work Arrangements — options for hybrid or remote work to support work-life balance Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Meal Allowances — daily meal stipends to promote employee well-being Transportation Benefits — support for commuting costs to and from the office Stock Options — opportunities to own a part of Mastercard through stock options Mentorship Programs — access to mentorship for professional growth and development Career Progression & Salary Growth At Mastercard , career progression is supported through structured promotion timelines and an internal promotion policy . Employees can expect annual performance reviews that typically result in a salary increase of 5-10% based on performance. This commitment to rapid career advancement ensures that your growth aligns with the company's success. NexisGrow.com tip: When discussing salary, consider highlighting your unique skills and experiences that align with the role to negotiate effectively. Selection Process The hiring philosophy at Mastercard focuses on identifying candidates who not only possess the technical skills required for the Data Scientist role but also align with the company's values and culture. This holistic approach ensures a strong fit for both the employee and the organization. 1 Round 1: Application Screening — Initial review of applications focusing on qualifications and relevant experience. 2 Round 2: Technical Interview — Assessment of your data science skills, problem-solving abilities, and analytical thinking. 3 Round 3: Behavioral Interview — Evaluation of cultural fit and alignment with Mastercard 's values and mission. 4 Final Stage: Offer Presentation — Presentation of the job offer followed by a background check for smooth onboarding. What Each Round Tests Round 1 focuses on your qualifications and relevant experience. Round 2 assesses your technical skills in data science, while Round 3 evaluates your communication skills and cultural fit within Mastercard . Timeline & Expectations The entire selection process typically spans 4-6 weeks from application submission to final offer. Candidates can expect timely communication from Mastercard regarding their application status at each stage. Interview Prep Tip: Familiarize yourself with Mastercard 's core values and mission to effectively demonstrate your alignment during interviews. How to Apply for Data Scientist at Mastercard Apply Now — Mastercard Step 1: Click the Apply button or visit the official career link to access the application portal. Step 2: Complete your profile and upload your resume, highlighting relevant skills and experiences that align with the Data Scientist role. Step 3: Expect a confirmation email detailing the next steps in the screening process, including timelines. Step 4: Applications are reviewed on a rolling basis, so early submission is encouraged to enhance your chances. Step 5: Tailor your application to showcase specific projects or experiences that demonstrate your data science capabilities. Resume & Profile Tips for This Role Highlight your proficiency in Python and R for data analysis and modeling. Showcase any experience with machine learning algorithms and data visualization tools. Include relevant projects or internships that demonstrate your problem-solving skills. Emphasize your ability to work collaboratively in cross-functional teams . To maximize your chances, apply early as this role may attract a high volume of applicants. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Data Scientist role at Mastercard? Eligibility Tap to expand + Answer Candidates must have a B.E or B.Tech degree from relevant streams, with batch eligibility from 2023 to 2026. Both freshers and experienced candidates are encouraged to apply. ? What is the interview process for Data Scientist at Mastercard? Interview Tap to expand + Answer The interview process includes an initial screening, followed by a technical interview focused on data science skills, and a behavioral interview to assess cultural fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with Python, R, SQL, and data visualization tools like Tableau, focusing on building predictive models and data analysis. ? What is the salary and compensation for this role? Salary Tap to expand + Answer Salary is competitive and follows Mastercard's company policy, with potential for performance-based bonuses and growth. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role is primarily onsite in Gurgaon, with potential for hybrid arrangements depending on project needs. ? What is the career growth path after joining Mastercard as a Data Scientist? Growth Tap to expand + Answer Expect a structured growth path with opportunities for promotions within 6-12 months, along with access to internal mobility options. ? How should I prepare for the Data Scientist interview at Mastercard? Preparation Tap to expand + Answer Focus on brushing up on data analysis techniques, machine learning concepts, and practicing problem-solving scenarios relevant to the role. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply via the official link, ensuring your resume highlights relevant skills, projects, and experiences that align with the job description. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is typically a probation period of 6 months, during which performance will be evaluated to ensure a good fit. ? What is the work culture like at Mastercard? Culture Tap to expand + Answer Mastercard promotes a collaborative and inclusive work culture, emphasizing continuous learning, teamwork, and employee well-being. Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com