at Visa
Full TimeVisa 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.
Position Summary
We are seeking an innovative and analytical thinker to support our Data Science team in the Middle East and North Africa (MENA) region based in Bangalore, India. As Senior 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.
Principal Responsibilities
Serve as an analytics expert in designing, developing and implementing best in analytic solutions.
Experience and expertise in advance analytics in credit and fraud risk areas preferred
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
Demonstrate execution proficiency in handing multiple medium-to-large analytics projects in a teaming environment that includes the rest of the Data Science team
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
Ensure project delivery within timelines and budget requirements
Build on team’s analytical skills and business knowledge
Enhance existing analytics techniques by promoting new methodologies and best practices in the Data Science field
Provide subject matter expertise and quality assurance of complex data-driven analytic projects
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.
Professional Experience
• Minimum of 8 plus years of analytics expertise in applying statistical solutions to business problems
• Well rounded experience across risk and portfolio analytics
• Experience working with Card Payments industry and credit bureau
• 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
• Good knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies
• Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams
• Demonstrated ability to incorporate new techniques to solve business problems
• Demonstrated resource planning and delivery skills
Technical Expertise
• Experience in distributed computing environments and big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
• Ability to write scratch MapReduce jobs and fluency with Spark frameworks
• 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, R, Scala, Java, Matand SQL
• Proficient in some or all of the following techniques Linear and 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)
• Deliver results within committed scope, timeline and budget
• Very strong people and project management skills and experience
• Ability to travel within MENA on short notice
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.
