Lead Data Scientist providing data science expertise and technical leadership for Caterpillar aftermarket parts forecasting. Managing complex analytics processes and ensuring accurate insights generation for critical business decisions.
About the role
- Data Scientist developing monitoring solutions and advanced data science models for PayPal. Collaborating with stakeholders and driving best practices in data science in a fast-paced environment.
Responsibilities
- Apply strategic and analytical skills to build monitoring solutions to combat money laundering
- Lead development and implementation of advanced data science models and algorithms
- Collaborate with stakeholders to understand requirements
- Analyze and derive insights from large volumes of data
- Implement monitoring solutions in a fast-paced environment while driving best practices in data science
Requirements
- Minimum of 5 years of relevant work experience
- Bachelor's degree or equivalent experience
- Minimum of three years of experience in the field of AML transaction monitoring
- Minimum of two years of experience working with development, tuning and optimization of AML transaction monitoring rules and reports
- Thorough understanding of AML typologies and transaction monitoring processes
- Good understanding of transaction monitoring systems such as Oracle Mantas, Actimize etc.
- Strong SQL skills using tools like Teradata, MS SQL, MySQL, Hadoop, Big Query
- Experience in building and developing models, queries, or software to analyze and visualize data using tools such as Tableau
- Strong research and analytical skills, business acumen, strategic and creative thinking, project leadership skills and multi-tasking capabilities
- Excellent communication skills, both written and verbal
- Self-driver with the ability to work with a cross-functional team
- Ability to take initiative and execute against key projects independently
Benefits
- medical
- dental
- vision
- life and disability insurance
- parental and family leave
- 401(k) savings plan
- paid time off
- flexible work environment
- employee shares options
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