Senior Data Engineer - R/Python (6-8 yrs)

Company Description :

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa!!

Job Description :

Role : Senior Data Engineer- AI & ML

Location : Bangalore (Hybrid: 2-3 set days a week)

Visa cards play a crucial role in allowing our commercial solutions partners to pay and be paid. From large enterprises to small businesses, companies depend on Visa to allow their employees ease of operation in the digital payments ecosystem and to provide them with services that can help them gain valuable insights into their customers spending as well as their own spending. The Global Data Science group supports these commercial partners by using our outstandingly rich data set that spans more than 3 billion cards globally and collects more than 100 billion transactions in a single year.

Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are hiring Data Scientists who are equally passionate about the opportunity to use Visa's rich data to solve meaningful business problems.

- Building end-to-end automated pipelines for AI/ML models including model training, model validation, model refit, model recalibration, model monitoring, model servicing, etc.

- Create extract, transform, load (ETL) processes for easy ingestion and use

- Provide technical leadership in a team that generates business insights based on big data, identify impactful recommendations, and communicate the findings to clients

- Brainstorm innovative ways to use our unique data to answer business problems

- Connect with clients to understand the challenges they face and convince them with data

- Extract and understand data to form an opinion on how to best help our clients and derive relevant insights

- Develop visualizations to make your sophisticated analyses accessible to a broad audience

- Find opportunities to craft products out of analyses that are suitable for multiple clients

- Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients

- Work collaboratively with Data Scientists, Data Engineers, and cross-functional partners to

design and deploy data marts and AI/ML based solutions and products

- Assess the efficiency and accuracy of new data sources and data gathering techniques

- Develop custom data models and algorithms to apply to data sets

- Design, implement, and maintain reliable, high-performance distributed systems.

- Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, and other business outcomes

- Synthesize ideas/proposals in writing and engage in productive discussions with external or internal partners

- Provide mentorship in modern analytic techniques and business applications to unlock the value of Visa's unique data set, in keeping with market trends, client needs and emerging

techniques

Basic Qualifications :

- 8 years of work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Master's, MBA, JD, MD) or 0 years of work experience with a PhD degree

Preferred Qualifications :

- 6-8 years of work experience with a Bachelor's Degree or 4-6 years of work experience with an Advanced Degree (e.g. Master's, MBA, JD, MD) or 3 years of experience with a PhD

- 4+ years' experience in data-based decision-making or quantitative analysis

- Master's degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field

- Extracting and aggregating data from large data sets using SQL/Hive or Spark

- Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark

- Generating and visualizing data-based insights in software such as Tableau

- Advanced knowledge and experience of AI/ML model development and implementation

- Experienced with building AI/ML model pipelines and creating robust and scalable AI/ML solutions.

- Track record of creating robust and scalable AI/ML/Data Science solutions and products