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Senior Data Scientist

Senior Data Scientist

Mastercard

5 - 9 years

0 Lacs

haryana

Posted:20 hours ago| Platform: Shine logo

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Skills Required

python spark hadoop sql data management data mining data analytics data reporting quantitative analysis data structures data modeling software architecture tableau ml frameworks powerbi

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: As a Senior Data Scientist at Mastercard, you will work closely with the global optimization solutions team to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data. Your primary focus will be on building solutions and generating actionable insights to support product optimization and sales enablement. You will also prototype new algorithms, experiment, evaluate, and deliver actionable insights while driving product evolution with a strong emphasis on data science and engineering. Additionally, your role will involve performing data ingestion, aggregation, and processing on high volume and high dimensionality data to drive data unification and derive relevant insights. You are expected to continuously innovate, explore new approaches, tools, techniques, and technologies to solve business problems and generate valuable insights and recommendations. Key Responsibilities: - Work closely with the global optimization solutions team to architect, develop, and maintain advanced reporting and data visualization capabilities. - Build solutions and create actionable insights to support product optimization and sales enablement. - Prototype new algorithms, experiment, evaluate, and deliver actionable insights. - Drive the evolution of products with a focus on data science and engineering. - Perform data ingestion, aggregation, and processing on high volume and high dimensionality data. - Continuously innovate and explore new approaches, tools, techniques, and technologies. - Apply knowledge of metrics, measurements, and benchmarking to complex solutions. Qualifications Required: - Superior academic record at a leading university in Computer Science, Data Science, Technology, mathematics, statistics, or a related field. - Experience in data management, data mining, data analytics, data reporting, data product development, and quantitative analysis. - Strong analytical skills with a track record of translating data into compelling insights. - Prior experience working in a product development role. - Knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture is a plus. - Proficiency in using Python/Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), and SQL to build Big Data products & platforms. - Experience with Enterprise Business Intelligence Platform/Data platform i.e. Tableau, PowerBI is a plus. - Demonstrated success interacting with stakeholders to understand technical needs and ensuring analyses and solutions meet their needs effectively. - Ability to build a strong narrative on the business value of products and actively participate in sales enablement efforts. - Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor.,

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Senior Data Scientist