Data Scientist

2 weeks ago


Gurgaon, Haryana, India Sbi Cards And Payment Services Limited Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Deputy Vice President - Data Scientist

About the company

SBI Card is a leading pure-play credit card issuer in India, offering a wide range of credit cards to cater to diverse customer needs. We are constantly innovating to meet the evolving financial needs of our customers, empowering them with digital currency for seamless payment experience and indulge in rewarding benefits. At SBI Card, the motto 'Make Life Simple' inspires every initiative, ensuring that customer convenience is at the forefront of all that we do. We are committed to building an environment where people can thrive and create a better future for everyone.

SBI Card is proud to be an equal opportunity & inclusive employer and welcome employees without any discrimination on the grounds of race, colour, gender, religion, creed, disability, sexual orientation, gender identity, marital status, caste etc. SBI Card is committed to fostering an inclusive and diverse workplace where all employees are treated equally with dignity and respect which makes it a promising place to work.

Join us to shape the future of digital payment in India and unlock your full potential.

What's in it for YOU

  1. SBI Card truly lives by the work-life balance philosophy. We offer a robust wellness and wellbeing program to support mental and physical health of our employees
  2. Admirable work deserves to be rewarded. We have a well curated bouquet of rewards and recognition program for the employees
  3. Dynamic, Inclusive and Diverse team culture
  4. Gender Neutral Policy
  5. Inclusive Health Benefits for all - Medical Insurance, Personal Accidental, Group Term Life Insurance and Annual Health Checkup, Dental and OPD benefits
  6. Commitment to the overall development of an employee through comprehensive learning & development framework

Role Purpose

This role is responsible for End to End Ownership of Strategic Project Delivery in Data Lake Area and ownership of Data Analytics and Data Intelligence delivery.

Role Accountability

  1. Execute analytical experiments methodically to help solve various problems and make a true impact across various functions.
  2. Implement analytical models into production by collaborating with various system developers and machine learning engineers.
  3. Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy.
  4. Analyze data for trends and patterns and share with Key stakeholders.
  5. Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
  6. Strong project management, communication and presentation skills
  7. Maintaining and monitoring project plans and schedules.
  8. Desired knowledge of financial services industry esp. credit cards

Measures of Success

  1. Strategic Program Delivery in Data Lake Area
  2. Driving Data Science Initiatives in the enterprise
  3. Voice of customer from stakeholders
  4. Number of projects delivered in first time right
  5. Serviceability and uptime of applications as per defined SLAs
  6. Strong Program Governance and controls for driving IT Strategic Programs
  7. Effective stakeholder management across functions

Technical Skills / Experience / Certifications

  1. BE/B-Tech/ME/M-Tech/MCA or Equivalent technical degree with minimum of 10 years of IT relevant experience
  2. Strong exposure to machine learning models with hands on knowledge on model building and deployment
  3. Strong knowledge on python, R, SQL, spark and other related languages
  4. Good understanding of big data technologies like Cloudera Hadoop
  5. Team & Stakeholder management skills

Competencies critical to the role

  1. In Depth Knowledge of Python, R, SQL, spark, Scala, Hive, Pig, Hue and other related languages
  2. Should have experience in financial and\or credit card processing domain
  3. Strong analytical skills

Qualification

B.E / B-Tech/MCA or equivalent technical degree

Preferred Industry

Credit Cards / NBFC/BFSI/Financial domain

Experience LevelExecutive Level
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