Visa career 2024 ; hiring entry level data scientist

Visa world largest digital payment company hiring a entry level data scientist across india

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Job role : Entry level data scientist

Qualifications: BE/B.Tech or other technical degree

Batch: Every graduate can apply

Experience: Fresher and Experienced

Salary Package : 4 to 6 LPA or as per company standard

Job location : Across india with providing hybrid work model

Last Date: ASAP

Job Description

Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems
Communicate 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 complex analyses accessible to a broad audience
Find opportunities to craft products out of analyses that are suitable for multiple clients
Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions.
Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.

Attention : Read all criteria carefully and make changes in resume by adding relevent keywords so you will get the interview call otherwise you will miss out.

Basic Qualifications

• Bachelor’s or Master’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field
• Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark
• Developing and refining machine learning models for predictive analytics, classification and regression tasks.

Preferred Qualifications but not mandatory

• 2 years’ experience in data-based decision-making or quantitative analysis
• Knowledge of ETL pipelines in Spark, Python, HIVE that process transaction and account level data and standardize data fields across various data sources.
• Generating and visualizing data-based insights in software such as Tableau.
• Competence in Excel, PowerPoint.
• Previous exposure to financial services, credit cards or merchant analytics is a plus.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.