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Senior Data Scientist
hace 4 semanas
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**:
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 (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.
- 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. 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, including clear and efficient coding, 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**:
Basic Qualifications
- 4 years of work experience with a Bachelor’s Degree (eg, Statistics, Computer Science, Engineering or other related fields) or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD)
Preferred Qualifications
- 7-10 years of work experience and a Bachelor’s Degree or 6 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
- Previous exposure (minimum of 5 years of work experience) to financial services/banking, credit cards or retailer/merchant analytics.
- Strong interest in the future of payments is a must.
- Experience in retail banking, payments, financial services, and/or technology industries is a plus.
- Hands-on experience extracting and manipulate large datasets (Big Data) using standard tools such as Hadoop (Hive), Spark, Python (pandas, NumPy), SAS (E. Guide, Macro programming), SQL, etc.
- Hands-on experience in advanced analytics and statistical modeling including Linear Regression, Logistic Regression, Clustering methods (e.g. K-means), Classification models, among others.
- Hands-on experience developing Machine Learning models is a plus (Random Forest, Gradient Boosting, SVM, ANN) using Python (scikit-learn), R, Spark MLlib.
- Hands-on Experience with data visualization and tools like Tableau and Power BI.
- Translate data analysis insights to a business language.
- Continuously develop and present innovative i
