Data Scientist II

4+ years of experience in a data science/analytics role.
Degree in statistics, analytics, data science, or similar field, or equivalent practical work experience.
Excellent storytelling, communication and stakeholder management skills.
Demonstrated skill using SQL to extract data and create new data structures.
Strong understanding and expertise of common statistical, artificial intelligence and machine learning techniques with a proven track record of deploying them effectively against key problems to solve.
Proficiency in at least one statistical programming language (Python preferred) to uncover insights and build machine learning and/or statistical models.
Experience using Github to manage and document projects.
Excellent communications skills and a customer-first approach to collaboration.
Curiosity and an appetite for continuous learning.
Problem-solving, analytical mindset.

Engage business users to understand core needs and business value to best gather requirements and shape needs.
Acquire, clean and prepare complex data sets for use in model and tool development.
Independently and/or collaboratively build predictive AI/ML models across text, time, classification, regression and other common approaches.
Translate technical details through storytelling to share model/project progress and outcomes with stakeholders to iterate on refining and meeting expectations.
Respond to data-focused requests from client-facing stakeholders.
Effectively work with cross-functional teams to extract value from data-driven initiatives.
Manage data science projects end-to-end.

Experience in applying statistical methods within the social sciences.
Experience building and/or leveraging Large Language Models (LLM) and other Neural Networks.