Visa
Bangalore
IT Service
As the world’s leader in digital payments technology, Visa’s mission is to connect the world through the most creative, reliable and secure payment network – enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company’s dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.
At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.
You’re an Individual. We’re the team for you. Together, let’s transform the way the world pays.
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.
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