Role Overview
Independently manages and manipulates large data sets and applies various technical and statistical analytical techniques to draw insights from large data sets.
What You Will Do
Develops sophisticated multivariate models and analytic solutions, utilizing complex statistical and data science techniques and methods.
Why It Might Be a Fit
Requires a Master’s degree or foreign equivalent in Information Systems, Data Analytics, Information Technology, Computer Science, Engineering or related and five (5) years of progressively responsible experience in job offered or as a Data Science, AI and Machine Learning, or related.
Requirements
- Master’s degree or foreign equivalent in Information Systems, Data Analytics, Information Technology, Computer Science, Engineering or related
- five (5) years of progressively responsible experience in job offered or as a Data Science, AI and Machine Learning, or related
- 1 year of experience with Python
- 1 year of experience with Scikit-learn
- 1 year of experience with Hadoop
- 1 year of experience with Impala/Spark
- 1 year of experience with Git
- 1 year of experience with BI visualization tools (i.e., Tableau, Domo, Power BI)
- 1 year of experience with SQL
Benefits
- insurance (including medical, prescription drug, dental, vision, disability, life insurance)
- flexible spending account and health savings account
- paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
- 80 hours of Paid Sick and Safe Time
- 25 days of vacation time
- 5 personal days
- 10 annual paid U.S. observed holidays
- 401k with a best-in-class company match
- deferred compensation for eligible roles
- fitness reimbursement or on-site fitness facilities
- eligibility for tuition reimbursement
To apply for this job please visit mastercard.wd1.myworkdayjobs.com.
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