Lead Data Scientist leveraging datasets to build analytics tools for audit practitioners in an inclusive startup environment. Collaborate with teams to improve operational efficiencies and data insights.
About the role
- Senior Data Scientist for Nasdaq Verafin analyzing data to detect and prevent financial crimes. Collaborating across teams to deliver quantitative insights and innovative solutions.
Responsibilities
- Analyze real and experimental data to derive quantitative insights
- Contribute to data science initiatives through the identification of problems, design of solutions, and development of prototypes used to validate outcomes
- Devise solutions for a variety of non-routine analysis problems
- Work with talented, knowledge-driven individuals and share your ideas across the team
- Assist with data-driven decisions based on project outcomes
- Engage in continuous learning and knowledge exchange: ask questions, share expertise, and support team development.
Requirements
- Master's degree in Computer Science, Mathematics, Statistics, or a related quantitative field
- 2+ years of industry experience in Data Science, Machine Learning, or a similar discipline
- Proficiency in SQL, Python (including major data science libraries), and familiarity with Java, all in production environments
- Hands-on experience with designing, developing, deploying and maintaining distributed computing solutions using PySpark or Ray for data analysis and model training
- Hands-on experience with Terraform and machine learning operations technologies on AWS ecosystem such as SageMaker, S3, Lambda, and EMR jobs
- Strong analytical and problem-solving skills, with creativity to tackle complex challenges
- Fluency in communicating technical concepts clearly to diverse audiences and collaborate across teams
- Experience creating impactful data visualizations and applying statistical/mathematical techniques
Benefits
- We offer a competitive, well-rounded rewards package that supports you and your family — inside and outside of work.
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