Senior Data Scientist

Mastercard

5 - 7 years

13 - 18 Lacs

navi mumbai

Posted:-1 days ago| Platform:

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Skills Required

data scientist kubernetes rest python credit risk risk modeling machine learning data engineering fintech sql docker banking pandas analytics tensorflow nlp data science open banking digital payments statistical modeling finance

Work Mode

Work from Office

Job Type

Full Time

Job Description

Title and Summary

Senior Data ScientistJob Description Summary -Who is Mastercard? Mastercard is a global technology company in the payments industry
Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible
Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company
With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all
Overview Finicity, a Mastercard company, is leading the Open Banking Initiative to increase the Financial Health of consumers and businesses
The Data Science and Analyticsteam is looking for a Senior Data Scientist
The Data Science team works on Intelligent Decisioning; Financial Certainty; Attribute, Feature, and Entity Resolution; Verification Solutions and much more
Join our team to make an impact across all sectors of the economy by consistently innovating and problem-solving
The ideal candidate is passionate about leveraging data to provide high quality customer solutions
Also, the candidate is a strong technical leader who is extremely motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset
Role Plan and direct data science / machine learning projects within the team
Design and implement machine learning models for a number of financial applications including but not limited to: Transaction Classification, Temporal Analysis, Risk modeling from structured and unstructured data
Measure, validate, implement, monitor and improve performance of both internal and external facing machine learning models
Propose creative solutions to existing challenges that are new to the company, the financial industry and to data science
Present technical problems and findings to business leaders internally and to clients succinctly and clearly
Leverage best practices in machine learning and data engineering to develop scalable solutions
Identify areas where resources fall short of needs and provide thoughtful and sustainable solutions to benefit the team Be a strong, confident, and excellent writer and speaker, able to communicate your analysis, vision and roadmap effectively to a wide variety of stakeholders
All about you: 5-7 years in data science/ machine learning model development and deployments Exposure to financial transactional structured and unstructured data, transaction classification, risk evaluation and credit risk modeling is a plus
A strong understanding of NLP, Statistical Modeling, Visualization and advanced Data Science techniques/methods
Gain insights from text, including non-language tokens and use the thought process of annotations in text analysis
Solve problems that are new to the company, the financial industry and to data science SQL / Database experience is preferred Experience with Kubernetes, Containers, Docker, REST APIs, Event Streams or other delivery mechanisms
Familiarity with relevant technologies (e g TensorFlow, Python, Sklearn, Pandas, etc)
Strong desire to collaborate and ability to come up with creative solutions
Additional Finance and FinTech experience preferred
Bachelors or Masters Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics M S preferred Corporate Security Responsibility Every person working for, or on behalf of, Mastercard is responsible for information security
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position must:
Abide by Mastercards security policies and practices; Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercards guidelines

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