Data Scientist Manager

Company Description

Visa 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.**

**Job Description**:
**Data Scientist Manager**

Visa Inc. is a global payments technology company that connects consumers, businesses, financial institutions and governments in more than 200 countries and territories, enabling them to use digital currency instead of cash and checks.

Visa Consulting and Analytics (VCA), the consulting arm of Visa, is a global team of industry experts in strategy, marketing, operations, risk and economics consulting, with decades of experience in the payments industry.

Our VCA teams offers,
- Consulting services customized to the needs of Visa client’s business objectives and strategy
- Business and economic insights and perspectives that impact business and investment decisions
- Self-service digital solutions Visa clients can leverage to improve performance in product, marketing and operations
- Proven data-driven marketing strategies to increase clients’ ROI

**Responsibilities**
- 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 Ecosystem through scripting in Python, Spark, SQL, etc.
- Hands-on skills in cleaning, manipulating, analyzing, 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 data mining tools, algorithms, and other capabilities to solve business problem. Experience doing ML using R, Python (scikit-learn, etc.) or other similar software.
- Utilize Visa's data and analytic capabilities, technology, and industry expertise to develop, standardized and implement the consulting analytical solutions.
- Identify relevant market trends based on a deep analysis of payment industry Information. Interacting with several internal and external stakeholders for the strategic definition of analysis and initiatives.
- Continuously develop and present innovative ideas 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.
- Document all projects developed and write other documentation as needed. Identify and share best practices for key topics.

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 two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.

**Qualifications**:

- BA/BS required, Master's degree preferred (eg, Statistics, Computer Science, Engineering or other related fields).
- 8+ years of overall experience with a preferred minimum of 5 in a banking and/or retailer
- Strong interest in the future of payments a must.
- Experience in retail banking, payments, financial services, and/or technology industries
- 5+ years of Hands-on experience in advanced analytics and statistical modeling including Linear Regression, Logistic Regression, Clustering methods (e.g. K-means), Classification methods (Decision Trees/Chaid), Gradient Boosting, among others.
- Expert level knowledge in Python/ Pyspark
- Work with large volumes of data (Big Data), extract, clean and manipulate large datasets using standard tools such as Hadoop Ecosystem, Hive, Apache Spark, through scripting in Python, SQL, etc.
- Knowledge of visualization tools such as Tableau or PowerBI
- Continuously develop and present innovative ideas based on data driven approach in order to improve current business practices within Visa
- Excellent project management, organizational and presentational skills.
- Strong teamwork,