Principal Associate, Data Science - Anti Money Laundering

Key Skills

Java Programming, Python Programming, Database, SQL, AWS, Machine learning techniques, Data science techniques, R Programming, Data Engineering, Dask - Python library

Job Description

• help our business leaders make better decisions by conducting rigorous statistical analyses of various business strategies
• build machine learning models through all phases of development, from design through training, validation, and deployment
• partner with a cross-functional team of data scientists, data engineers, software engineers, business analysts and product managers to deliver a product customers love
• leverage a broad stack of technologies — Python, R, Dask, SQL, AWS and more — to build and monitor models and deliver transformational insights from data

The Ideal Candidate is:

• Is statistically-minded. You understand statistical concepts like sampling, bias, uncertainty, etc. and can reason using these principles. You know how to interpret the outputs of standard statistical models. You have experience with hypothesis testing, regression models, classification models and clustering. 
• Is technical. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. You’re comfortable with Python or R, SQL, command line, AWS, etc. and are passionate about developing these skill sets further. You are able to write well documented and efficient code that is production-grade and that your team can leverage. You know how to work with messy data sources. 
• Has strong written and verbal communication skills. Your documentation clearly articulates your thinking and you can communicate results well to your peers and other technical and business leaders. 
• Is a self-starter and a creative problem solver. You take initiative and know how to move past challenges. You iterate quickly and can tackle white space problems. 

Basic Qualifications:

• Bachelor’s Degree plus 5 years of experience in data analytics, or Master’s Degree plus 3 years in data analytics, or PhD
• At least 1 year of experience in open source programming languages for large scale data analysis
• At least 1 year of experience with machine learning
• At least 1 year of experience with relational databases

Preferred Qualifications:

• Master’s Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Physics or related disciplines.
• At least 2 years of experience with Python or R, SQL and scripting
• At least 2 years of experience working with and analyzing large datasets
• At least 2 years of experience building, analyzing and deploying machine learning models