Sr. Data Scientist, Data Science
Sr. Data Scientist, Data Science
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Job Description
- Essential Functions
- Provide technical leadership in a team that generates business insights based on big data identify actionable recommendations and communicate the findings to clients Required at SDS level
- Brainstorm innovative ways to use our unique data to answer business problems
- Communicate with clients to understand the challenges they face and convince them with data
- Extract and understand data to form an opinion on how to best help our clients and derive relevant insights
- Develop visualizations to make your complex analyses accessible to a broad audience
- Find opportunities to craft products out of analyses that are suitable for multiple clients
- Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions
- Mine and analyze data from company databases to drive optimization and improvement of product marketing techniques and business strategies for Visa and its clients
- Assess the effectiveness and accuracy of new data sources and data gathering techniques
- Develop custom data models and algorithms to apply to data sets
- Use predictive modeling to increase and optimize customer experiences revenue generation data insights and other business outcomes
- Partner with a variety of Visa teams to provide comprehensive solutions
- Synthesize ideas/proposals in writing and engage in productive discussions with external or internal stakeholders
- Provide guidance in modern analytic techniques and business applications to unlock the value of Visas unique data set in keeping with market trends client needs and emerging techniques
- Organize and manage multiple data science projects with diverse crossfunctional stakeholders
Qualifications :
Basic Qualifications
Bachelors or Masters degree in Statistics Operations Research Applied Mathematics Economics Data Science Business Analytics Computer Science or a related technical field
6 years of work experience with a bachelors degree or 4 years of work experience with a Masters degree or 2 years of work experience with a PhD degree
Extracting and aggregating data from large data sets using SQL/Hive or Spark
Analyzing large data sets using programming languages such as Python/R
Developing and refining machine learning models for predictive analytics classification and regression tasks.
Preferred Qualifications
10 years of work experience with a bachelors degree or 8 years of work experience with an Advanced Degree (e.g. Masters MBA) or 3 years of experience with a PhD
6 years experience in databased decisionmaking or quantitative analysis
Knowledge of ETL pipelines in Spark Python HIVE that process transaction and account level data and standardize data fields across various data sources.
Generating and visualizing databased insights in software such as Tableau
Communicating datadriven insights and conveying actionable recommendations
Managing analytics/data science projects from scoping to delivery and engaging with internal/external stakeholders
Previous exposure to financial services credit cards or merchant analytics 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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
