We are seeking an experienced Senior Data Scientist to lead the development of analytics and growth strategies across our entire business.

Requirements

Bachelor’s or master’s degree in a quantitative field, such as mathematics, statistics, or computer science
PhD, or M.S. degree in a quantitative discipline such as CS, Statistics, ML, Physics, Economics, or Mathematics preferred
5+ years of experience in data science, including experience in DTC, e-commerce, or retail analytics
Strong proficiency in statistical modeling and machine learning algorithms, such as regression analysis, clustering, and decision trees
Experience with programming languages such as Python or R and SQL Jupyter, & ML libraries
Strong communication and presentation skills, with the ability to translate complex data insights to non-technical stakeholders
Strong leadership and/or management skills, with experience managing and mentoring a team of data scientists
Proficiency in productionizing algorithms, from data ingest to model management, using AWS and/or Azure
Self-starter: able to drive projects and take technical leadership of projects
Experience in start-ups or other fast-paced environments preferred
Experience and excitement partnering with Data Analytics and Data Engineering

Benefits

We are seeking an experienced Senior Data Scientist to lead the development of analytics and growth strategies across our entire business.

Bachelor’s or master’s degree in a quantitative field, such as mathematics, statistics, or computer science
PhD, or M.S. degree in a quantitative discipline such as CS, Statistics, ML, Physics, Economics, or Mathematics preferred
5+ years of experience in data science, including experience in DTC, e-commerce, or retail analytics
Strong proficiency in statistical modeling and machine learning algorithms, such as regression analysis, clustering, and decision trees
Experience with programming languages such as Python or R and SQL Jupyter, & ML libraries
Strong communication and presentation skills, with the ability to translate complex data insights to non-technical stakeholders
Strong leadership and/or management skills, with experience managing and mentoring a team of data scientists
Proficiency in productionizing algorithms, from data ingest to model management, using AWS and/or Azure
Self-starter: able to drive projects and take technical leadership of projects
Experience in start-ups or other fast-paced environments preferred
Experience and excitement partnering with Data Analytics and Data Engineering