Company Description
Visa is a global leader in digital payments, facilitating over 215 billion transactions annually across more than 200 countries and territories. Our mission is to connect the world through an innovative, convenient, reliable, and secure payments network. At Visa, we prioritize your growth, embrace diversity, and believe that inclusive economies uplift everyone. Join us in enabling financial access for billions of people worldwide and shaping the future of money movement.
Join Visa. A Network Working for Everyone.
Job Description
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 a Data Scientist, you are expected to generate data and business insights, 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.
- 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 outcomes.
- Demonstrate execution proficiency in handling multiple medium-to-large analytics projects in a team environment.
- Draft detailed scopes for assigned projects, addressing suggested methodology and analytics plans.
- 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 projects are reviewed per analytics plan.
- Ensure project delivery within timelines and budget requirements.
- Build on the 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 for complex data-driven analytic projects.
- This is a hybrid position, allowing employees to alternate time between remote and the office.
Professional Experience
- Minimum of 5-7 years of analytics expertise in applying statistical solutions to business problems.
- Experience working in one or more Card Payments markets globally.
- Post-graduate degree (Masters or PhD) in a Quantitative field.
- Good understanding of the Payments and Banking Industry.
- Experience planning, organizing, and managing multiple large projects with diverse teams.
- Demonstrated ability to incorporate new techniques to solve business problems.
Technical Expertise
- Experience in distributed computing environments and big data platforms.
- Proficiency in various programming languages such as Python, R, Scala, Java, Matlab, C, and SQL.
- Familiarity with common data modeling approaches and ability to work with various data types.
- Ability to build data pipelines using tools such as NiFi, Sqoop, Ab Initio.
- Proficient in techniques such as Linear and Logistic Regression, Decision Trees, Random Forests, etc.
- Expert knowledge of advanced data mining and statistical modeling techniques.
Business Experience
- Results-oriented with strong problem-solving skills.
- Good business acumen with a track record in solving business problems through data-driven methodologies.
- Experience in payment, retail banking, or retail merchant industries preferred.
- Very detailed-oriented with a focus on maintaining the highest level of quality and 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 at various levels.
Additional Information
Visa is an Equal Employment Opportunity (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 qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.