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Data Scientist II

Data Scientist II

Mastercard

4 - 8 years

13 - 18 Lacs

gurugram

Posted:14 hours ago| Platform:

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Skills Required

quantitative sql server analysis services hive python data analytics data management ssas data mining sql coding power bi sql server sql server integration services sql server reporting services tableau ssrs hadoop ssis quantitative analysis

Work Mode

Work from Office

Job Type

Full Time

Job Description

All About You

Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis Financial Institution or a Payments experience a plus Experience presenting data findings in a readable and insight driven format, Experience building professional PowerPoint decks.

Expertise in Advanced SQL coding
Experience on Platforms/Environments: SQL Server, Microsoft BI Stack, Python
Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage
Experience in building data models a plus
Experience with data visualization tools such as Tableau, PowerBI, Tableau Certification a plus
Experience with Hadoop environments, Hive, Python a plus Excellent problem solving, quantitative and analytical skills
In depth technical knowledge, drive and ability to learn new technologies
Strong attention to detail and quality Team player, excellent communication skills
Must be able to interact with management, internal stakeholders and collect requirements
Must be able to perform in a team, use judgment and operate under ambiguity

Education

Bachelors or Masters Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred

Additional Competencies

Excellent English, quantitative, technical, and communication (oral/written) skills Analytical/Problem Solving Strong attention to detail and quality
Work in Global team Self-motivated, operates with a sense of urgency Project Management/Risk Mitigation
Able to prioritize and perform multiple tasks simultaneously

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Data Scientist II