Job Opportunity: Data Scientist, Visa Consulting & Analytics

Company Description

Join Visa, the global leader in payments and technology, facilitating over 259 billion transactions annually across more than 200 countries and territories. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network. We empower individuals, businesses, and economies to thrive, driven by a common purpose to uplift everyone, everywhere. Experience a purpose-driven career at Visa—

Job Description

Responsibilities

Are you adept at transforming complex data into strategic insights? Do you excel in solving intricate data challenges? Join Visa and utilize your skills to answer strategic questions for one of the world's most innovative payment companies. At Visa, we handle over 70 billion transactions annually, providing a rich dataset to help our industry partners plan for the future.

The ideal candidate will be a problem solver equipped with strong analytical and quantitative skills to address the key strategic needs of Visa's clients, including issuers, acquirers, and merchants. Proficiency in data visualization tools such as Tableau is essential. If you are a quick learner with a strong sense of personal responsibility, this role is for you.

• Work with large volumes of data, extract and manipulate datasets using tools like the Hadoop Ecosystem, Python, SQL, Java, etc.
• Clean, manipulate, analyze, and visualize large datasets.
• Create dynamic and impactful visual interfaces/dashboards using Visa's data, analytics capabilities, and industry expertise.
• Collaborate with internal stakeholders to understand their challenges and develop innovative solutions.
• Continuously present and implement innovative ideas to enhance Visa's current solutions.

Qualifications

Technical Skills

• 4 years of analytical experience and a Post Graduate degree (Masters or Ph.D.) in a Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred.
• Hands-on experience with data analytics/programming tools such as SAS, Salford SPM, Hadoop, R, SQL, Python, or Hive.
• Proficiency in statistical techniques including but not limited to Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Neural Networks, Clustering, Principal Component Analysis, and Factor Analysis.
• Experience in the banking/consumer lending industry is preferred.
• Experience in analytics (model development, strategy and framework, scorecard development, documentation, validation, governance, implementation, and automation).
• High competence in Excel and PowerPoint.
• Demonstrated ability to innovate solutions to solve business problems.

Business Skills

• Results-oriented with strong analytical and problem-solving skills.
• Good business acumen with the ability to solve business problems using data-driven methodologies.
• Team-oriented, collaborative, and flexible with the ability to tailor results to various audience levels.
• Detail-oriented, ensuring the highest level of quality in reports and data analysis.
• Proven skills in translating analytics into actionable recommendations and delivery.
• Experience in presenting ideas and analysis to stakeholders.
• Exhibit intellectual curiosity and a continuous learning mindset.
• Fluency in written and oral English is mandatory.

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.