Role Overview
Independently manages and manipulates large data sets and applies various technical and statistical analytical techniques to draw insights from large data sets. Communicates with client counterparts to ensure customer needs are being addressed when designing data analysis and technical solutions.
What You Will Do
Reviews and applies complex analytical techniques or tools to draw meaningful and insightful observations and trends from large/complex data sets. Develops sophisticated multivariate models and analytic solutions utilizing complex statistical and data science techniques and methods.
Why It Might Be a Fit
The successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience.
Requirements
- Bachelor’s degree or foreign equivalent in Data Science, Statistics, Mathematics, Analytics, Information Technology, or related
- Three (3) years of progressively responsible experience in job offered or as a Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, or related
- Unix CLI, Python, SQL, Machine learning experimentation orchestration frameworks (such as MLflow), Big data processing tools and systems (such as Hadoop, Spark, Databricks, Snowflake, etc.)
- Experience with building models related to fraud, scams, or money laundering detection, Payments ecosystem
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 and 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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