Job Title: Senior Data Scientist
Salary : Rs 16,15,075 to ₹49,10,515 per year
Location: Pune, Maharashtra
Company: Mastercard
Qualification: Graduate
Experience: 3-4 year
ABOUT MASTERCARD
Mastercard Incorporated is a worldwide financial offerings company centered in Purchase, New York. Founded in 1966, Mastercard operates a good-sized network that connects purchasers, monetary institutions, merchants, and governments internationally. The agency’s primary commercial enterprise involves processing digital payments, imparting credit, debit, and prepaid card services, in addition to supplying price answers to beautify security and comfort.
Mastercard’s improvements in virtual payments and financial era intention to facilitate seamless transactions and foster monetary inclusion. With a commitment to advancing the worldwide financial system via its products and services, Mastercard is at the vanguard of charge technology, striving to make transactions quicker, more secure, and more on hand for all people.
Job Overview
As a Senior Data Scientist, you can lead complex facts evaluation projects to pressure organization insights and techniques. Your role includes designing and implementing superior statistical fashions, developing machine-mastering algorithms, and interpreting large datasets to solve hard issues. You will collaborate with past practical groups, talk findings to stakeholders, and manual junior statistics scientists. A sturdy record in programming, statistical evaluation, and statistics visualization is vital, collectively with enjoy in challenge control and a deep information of commercial company wants to deliver actionable insights.
Responsibilities For a Senior Data Scientist:
- Data Analysis and Modeling: Design and locate into effect complex statistical fashions and tool studying algorithms to research massive datasets. Develop predictive models and carry out records mining to understand trends, styles, and actionable insights.
- Data Management: Oversee the collection, cleansing, and preprocessing of statistics to ensure accuracy and completeness. Develop and maintain information pipelines and workflows to manual sturdy facts processing.
- Collaboration: Work intently with skip-practical agencies, which includes engineers, product managers, and business company analysts, to recognize commercial enterprise company desires and translate them into information-pushed solutions. Communicate findings effectively to non-technical stakeholders and offer tips.
- Project Leadership: Lead and manage statistics technological expertise responsibilities from inception to deployment. Define venture scope, goals, and deliverables. Ensure initiatives are completed on time and meet terrific standards.
- Mentorship: Provide guidance and assistance to junior statistics scientists and analysts. Share splendid practices and foster a collaborative surroundings to decorate group abilities and everyday general performance. (Senior Data Scientist)
- Tool and Technology Selection: Stay updated with cutting-edge employer inclinations and technology. Evaluate and recommend gear and technologies that may decorate information analysis techniques and effects.
- Reporting and Visualization: Create centered critiques and visualizations to keep complex facts and insights in reality. Develop dashboards and interactive machines to allow stakeholders to discover facts and derive insights independently.
- Problem-Solving: Address and clear up complex facts-related problems and stressful conditions. Apply analytical capabilities to troubleshoot issues and optimize records strategies.
Qualifications For a Senior Data Scientist:
- Education: Advanced diploma (Master’s or Ph.D.) in Data Science, Computer Science, Statistics, Mathematics, or a related area.
- Experience: Extensive revel in (normally 5-7 years) in statistics technological know-how or a related difficulty, along with hands-on enjoyment with statistical modeling, device studying, and information assessment.
- Technical Skills: Proficiency in programming languages which include Python, R, or SQL. Experience with records manipulation libraries (e.g., pandas, NumPy) and device reading frameworks (e.g., TensorFlow, scikit-take a look at). Strong information on statistics visualization devices (e.g., Tableau, Power BI).
- Analytical Skills: Demonstrated functionality to perform complex data evaluation and derive actionable insights. Strong facts of statistical techniques and methodologies. (Senior Data Scientist)
- Communication Skills: Excellent verbal and written verbal exchange talents, with the capability to provide a purpose of technical requirements to non-technical audiences and gift records-driven guidelines in reality.
- Project Management: Proven revel in main initiatives, managing timelines, and coordinating with multiple stakeholders.
- Problem-Solving Abilities: Strong analytical and crucial questioning skills with a song file for fixing complicated troubles and implementing powerful answers.
- Teamwork and Leadership: Ability to mentor and lead a set of facts scientists and analysts, fostering a collaborative and powerful painting environment.
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