Senior Data Scientist Job at Mastercard। September 2024

Job Title: Senior Data Scientist

Salary: Rs 26,20,000 per year,

Location: Pune, Maharashtra

Company: Mastercard

Qualifications: Graduate

Experience: 3-4 Years

ABOUT MASTERCARD

Mastercard is an international chief in price answers, empowering human beings and agencies to transact securely and efficaciously. Founded in 1966, the employer operates in over 210 global places, facilitating seamless payments through its contemporary generation and widespread network. Mastercard offers a massive form of merchandise, including credit score, debit, and pay-as-you-go playing cards, similar to digital payment answers and fraud prevention services.

The company is dedicated to economic inclusion, striving to hold unbanked populations into the economic machine and sell sustainable financial boom. Through strategic partnerships and investments in fintech, Mastercard constantly complements its offerings, the use of virtual transformation inside the bills panorama.

Job Description

As a Senior Data Scientist, you can lead records-driven tasks, the use superior statistical evaluation and device reading techniques to extract insights from complex datasets. Collaborate with circulate-practical organizations to define problems, and growth models, and put in force solutions that pressure business techniques. You will mentor junior team individuals, ensuring high-quality practices in information handling and version development. Proficiency in programming languages that incorporate Python or R, on the side of enjoying statistics visualization tools, is critical. Strong verbal exchange abilities are required to offer findings and have an impact on selection-making at some point in the organization.

Key Responsibilities of a Senior Data Scientist:

1. Data Analysis and Modeling: Led the layout, development, and deployment of predictive fashions and the use of systems getting-to-know algorithms and statistical strategies to solve complicated business organization problems.
2. Data Collection and Cleaning: Collaborate with records engineers and analysts to build up, clean, and preprocess huge datasets, ensuring information best and integrity for analysis.
3. Cross-Functional Collaboration: Work closely with product managers, engineers, and distinctive stakeholders to come to be aware of business enterprise necessities, define key performance signs (KPIs), and deliver actionable insights.
4. Mentorship and Leadership: Guide and mentor junior facts scientists and analysts in nice practices, model improvement, and facts interpretation, fostering a collaborative and modern crew environment.
5. Visualization and Reporting: Create clear, compelling information visualizations and reviews to speak findings and suggestions to both technical and non-technical audiences, facilitating informed choice-making.
6. Research and Development: Stay updated on the ultra-modern traits and era in records technological knowledge and tool reading, exploring new systems and strategies to enhance the team’s skills.(Senior Data Scientist) 
7. Performance Monitoring: Implement and screen fashions put up deployment to ensure average performance, making changes critical to enhance accuracy and effectiveness.
8. Documentation: Maintain thorough documentation of methodologies, algorithms, and techniques to make sure reproducibility and knowledge sharing within the organization.

Key Skills of a Senior Data Scientist:

• Technical Proficiency: Strong statistics in programming languages which includes Python, R, or SQL, on the side of experience in tool studying libraries (e.g., shaktiman, TensorFlow, PyTorch).
• Statistical Knowledge: Deep knowledge of statistical techniques and their application in records analysis, together with regression, class, clustering, and hypothesis trying out.
• Data Visualization: Proficiency in information visualization tools together with Tableau, Power BI, or Matplotlib, allowing powerful conversation of insights.
• Problem-Solving Abilities: Strong analytical and essential wondering capabilities to grow to be privy to patterns, dispositions, and solutions within complex datasets.(Senior Data Scientist) 
• Communication Skills: Excellent verbal and written communication abilities, capable of providing technical ideas to non-technical stakeholders clearly and appealingly.
• Project Management: Ability to control a couple of initiatives concurrently, ensuring properly timed delivery while keeping extremely good requirements.
• Business Acumen: Understanding of organization-particular demanding situations and opportunities, deliberating the alignment of records generation projects with corporation goals.

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