Company Description
Company Description
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Team Description
Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, digital marketing and economics, VCA solves the most strategic problems for our clients.
The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability.
Job Description
VCA team is looking for an individual to join our consulting practice and play a role in the data science team. The ideal candidate is adept at using large data sets to address key strategic needs for Visa’s clients including issuers, acquirers and merchants. He/She must have experience using a variety of data mining/data analysis methods, using a variety of data tools and implementing models, using/creating algorithms and creating/running simulations. He/She must have a proven ability to drive business results with their data-based insights. Adept at creative and critical thinking, be able to deconstruct problems and transform insights into large scale, state-of-the-art solutio
Specific Responsibilities include:
- Develop and deploy analytical models and techniques within the organization and VCA’s clients including issuers, acquirers and merchants.
- Work with large volumes of data; extract and manipulate large datasets using standard tools such as Hadoop (Hive), Spark, Python (pandas, NumPy), SAS, SQL, etc.
- Hands-on skills in cleaning, manipulating, analyzing, and visualizing large data sets.
- Data Cleansing/Wrangling – This involve parsing and aggregating messy, incomplete, and unstructured data sources to produce data sets that can be used in analytics/predictive modeling.
- Develop and validate advance analytics models, algorithms, and other capabilities to solve business problem.
- Enhance and optimize codes that scale critical business processes.
- Develop and validate advanced ML algorithms, and other capabilities to solve business problem. Experience doing ML using R, Python (scikit-learn, etc.) or other similar software.
- Design and develop dashboards using Tableau or Power BI.
- Utilize Visa's data and analytic capabilities, technology, and industry expertise to develop, standardized and implement the consulting analytical solutions.
- Identify relevant market trends by country, based on a deep analysis of payment industry information.
- Interact with several internal and external stakeholders for the strategic definition of analysis and initiatives.
- Find opportunities to create and automate repeatable analysis or build streamlined solutions for business consultant and Visa’s clients.
- Continuously develop and present innovative ideas based on data driven approach in order to improve current business practices within Visa
- Perform client-specific analysis on portfolio data including proprietary information, such as customer demographics, activity, spend levels and financial information.
- Communicate complex concepts and the results of the analyses in a clear and effective manner.
- Support transfer technical knowledge to facilitate implementation of the business solution provided.
- Support the implementation of complex models and data pipelines on large datasets.
- Document all projects developed, including clear and efficient coding, and write other documentation as needed.
- Identify and share best practices for key topics.
Qualifications
Basic Qualifications:
- 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
Preferred Qualifications:
- 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
- MS in Computer Science or related field
- 2+ years of experience with distributed software development
- Hands-on experience with all aspects of software development: data, server-side, UI, and open-source software.
- Experience with Linux, Open source, C++ or Java, client-server apps
- Expertise in at least two of the following: Java / Go / Scala / Python,
- Knowledge of developing Data Pipeline, including Ingestion, Transformation, Extraction etc. is expected
- Experience in large Data Pipeline handing is a big plus
- Familiar with container strategies and ecosystems such as Docker, Kubernetes
- Knowledge of cloud architecture and scalable solutions including orchestration
- BlockChain technical expertise is a plus
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.
