Visa
Visa USA Inc., a Visa Inc. company, needs a Data Scientist (multiple openings) in Miami, FL to:
Extract and understand data to form an opinion to support clients and derive relevant insights.
Develop visualizations to make complex analyses accessible to a broad audience.
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, advertising targeting and other business outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Position reports to the Miami, Florida office and may allow for partial telecommuting.
Qualifications
Bachelor’s degree in Engineering, Mathematics, Statistics, Machine Learning, Analytics, Information Systems or related field and 2 years of experience in the job offered or in a Data Scientist‑related occupation.
Alternatively, a Master’s degree in Engineering, Mathematics, Statistics, Machine Learning, Analytics, Information Systems or related field.
Position requires experience in the following:
Big Data (Spark, Hadoop, Hive, Python, Conda, Presto, Docker).
Machine Learning.
SQL.
Tableau.
Statistics (Design of Experiments).
Marketing Analytics.
Additional Information Worksite:
Miami, FL
Hybrid Position:
Employees alternate time between remote and office. Expected to work from the office 2‑3 set days a week, with a general guidepost of being in the office 50% or more of the time based on business needs.
Travel Requirements:
This position does not require travel.
Mental/Physical Requirements:
This position will be performed in an office setting. The incumbent will sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment such as telephones and computers.
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.
Salary and Benefits U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $116,800.00 USD to $180,600.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job‑related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Seniority level:
Mid‑Senior level
Employment type:
Full‑time
Job function:
Product Management
Industry:
IT Services and IT Consulting
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Extract and understand data to form an opinion to support clients and derive relevant insights.
Develop visualizations to make complex analyses accessible to a broad audience.
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, advertising targeting and other business outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Position reports to the Miami, Florida office and may allow for partial telecommuting.
Qualifications
Bachelor’s degree in Engineering, Mathematics, Statistics, Machine Learning, Analytics, Information Systems or related field and 2 years of experience in the job offered or in a Data Scientist‑related occupation.
Alternatively, a Master’s degree in Engineering, Mathematics, Statistics, Machine Learning, Analytics, Information Systems or related field.
Position requires experience in the following:
Big Data (Spark, Hadoop, Hive, Python, Conda, Presto, Docker).
Machine Learning.
SQL.
Tableau.
Statistics (Design of Experiments).
Marketing Analytics.
Additional Information Worksite:
Miami, FL
Hybrid Position:
Employees alternate time between remote and office. Expected to work from the office 2‑3 set days a week, with a general guidepost of being in the office 50% or more of the time based on business needs.
Travel Requirements:
This position does not require travel.
Mental/Physical Requirements:
This position will be performed in an office setting. The incumbent will sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment such as telephones and computers.
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.
Salary and Benefits U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $116,800.00 USD to $180,600.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job‑related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Seniority level:
Mid‑Senior level
Employment type:
Full‑time
Job function:
Product Management
Industry:
IT Services and IT Consulting
#J-18808-Ljbffr