Visa | Jobs | Data Scientist | BigDataKB.com | 05-02-22

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.

Join Visa: A Network Working for Everyone.

To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures 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 looking for an innovative and analytical thinker to support our Data Science activities for different regions based in Bangalore, India. As a Data Scientist, you are expected to participate in business development, develop predictive and prescriptive models, context-based prototypes, and high impact storyboards to promote a data-driven strategy and solutions approach for the company.

Essential Functions

• Serve as an analytics expert in designing, developing and implementing best in analytic solutions
• Create and deliver powerful insights from data through better visualization and storyboarding
• Collaborate with internal and external partners to fully understand business requirements and desired business outcomes
• Draft detailed scope for assigned projects, addressing suggested methodology and analytics plan
• Execute on the analytics plan with appropriate data mining and analytical techniques
• Perform quality assurance of data and deliverables for work performed by other Data Scientists and self
• Ensure all project documentation is up to date and all projects are reviewed per analytics plan
• Build on team’s analytical skills and business knowledge
• Provide subject matter expertise and quality assurance of complex data-driven analytic projects
• Build ETL pipelines in Spark, Python or HIVE that process transaction and account level data and standardize data fields across various data sources

Professional Experience

• Minimum of 4+ years of analytics expertise in applying statistical solutions to business problems
• Experience working in one or more of the Card Payments markets around the globe
• Post-graduate degree (Masters or PhD) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent
• Good understanding of the Payments and Banking Industry including aspects such as consumer credit, consumer debit, prepaid, small business, commercial, co-branded and merchant

Technical Expertise

• Experience in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
• Ability to write ML based models using SparkML
• Familiarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDE’s (Jupyter Notebooks); proficiency in SAS technologies and techniques
• Strong programming ability in different programming languages such as Python and SQL
• Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using PySpark
• Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain, Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, etc.
• Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA); Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis); Decision Tree techniques (e.g., CART, CHAID)
• Very strong people/project management skills and experience

Business Experience

• Results-oriented with strong problem solving skills and demonstrated intellectual and analytical rigor
• Good business acumen with a track record in solving business problems through data-driven quantitative methodologies.
• Experience in payment, retail banking, or retail merchant industries is preferred
• Very detailed oriented, is expected to ensure highest level of quality/rigor in reports and data analysis
• Proven skills in translating analytics output to actionable recommendations and delivery
• Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.