Data Science AVP
A company is looking for an AVP, Data Science (L11). Key Responsibilities: Execute machine learning use cases including model prioritization, development, testing, and deployment Develop and validate statistical and machine learning models while managing a team of data scientists Extract and manipulate datasets from source systems and manage projects with proactive stakeholder communication Required Qualifications: BS or MS in Statistics, Economics, Mathematics, Engineering, or a related quantitative field with 6+ years of hands-on analytics/data science experience, or 8+ years of experience in lieu of a degree 6+ years of experience with SQL, SAS/Python, Pyspark, Scala, and Hive Tools, and proficiency in machine learning algorithms Experience in automating ML model training processes and handling large datasets Background in the US credit card or banking industry Strategic thinker with a strong grasp of business aspects related to financial drivers and credit card dynamics
A company is looking for an AVP, Data Science (L11).
Key Responsibilities:
Execute machine learning use cases including model prioritization, development, testing, and deployment
Develop and validate statistical and machine learning models while managing a team of data scientists
Extract and manipulate datasets from source systems and manage projects with proactive stakeholder communication
Required Qualifications:
BS or MS in Statistics, Economics, Mathematics, Engineering, or a related quantitative field with 6+ years of hands-on analytics/data science experience, or 8+ years of experience in lieu of a degree
6+ years of experience with SQL, SAS/Python, Pyspark, Scala, and Hive Tools, and proficiency in machine learning algorithms
Experience in automating ML model training processes and handling large datasets
Background in the US credit card or banking industry
Strategic thinker with a strong grasp of business aspects related to financial drivers and credit card dynamics
