Sr. Data Scientist

Job Description

• Define the project scope and set success criteria together with the Product team. • Explore data, formulate and present POCs (Proof of Concepts). • Develop, measure, and deploy models to production, monitor them, and understand the customer experience and the gaps. • Contribute to our ML infrastructure by designing and implementing scalable machine learning pipelines with the team’s MLEs (Machine Learning Engineers). • Continuously explore new technologies and tools that can be harnessed for our mission to improve the customer experience.

Qualifications

• M.Sc. or Ph.D. degree in Computer Science, Statistics, Mathematics, Physics, or a related field • 5+ years of hands-on experience in developing and delivering ML components to production at scale • Deep understanding of machine learning theory and algorithms - supervised, unsupervised, generative AI, RAG architecture • Ability to break a business problem into ML components • Production-grade development skills in Python and experience with machine learning libraries (Scikit-learn, etc.) • A good command of software engineering best practices

Benefits

• Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. • The expected salary range for this role to be performed in North Carolina is $160,000 - $175,000. • The expected salary range for this role to be performed in New York is $175,000 - $190,000. • Individual pay rate decisions, including offers made within and over the expected salary range, are based on a number of factors, including qualifications for the role, experience level, skillset, and balancing internal equity relative to peers at the company.