Senior Lead/Principal Data Scientist - INTL

We are seeking a Principal Data Scientist with strong expertise in classical machine learning, regression modeling, and statistical predictive analytics. This role is ideal for someone with a statistics-focused educational background (or similar quantitative discipline) who can independently drive model development, translate business needs into analytical solutions, and deliver impactful insights to stakeholders. You will work extensively with structured hospitality data to build features, develop predictive models, and support sales and service-focused use cases. This is a highly independent, creative role requiring strong communication, storytelling, and stakeholder partnership skills. Responsibilities include: Develop, test, and deploy classical machine learning models, with a core focus on regression-based predictive modeling. Prepare, clean, and transform structured data to build high quality features for modeling. Collaborate regularly with cross functional stakeholders to understand business goals, clarify requirements, and align analytical work with strategic needs. Own end to end development of sales and service-specific use cases, from discovery to deployment. Communicate complex analytical findings in a compelling, accessible way to both technical and non technical audiences. Explore and apply GenAI techniques as they enhance modeling, efficiency, and analysis workflows. Work independently to structure analytical approaches, evaluate methods, and recommend model driven solutions., 9+ years of experience as a Lead or Principal Data Scientist

Ability to storytell with stakeholders

Former experience being heavily involved in end to end stages (proof of concept to production)

Strong foundation in classical machine learning (Classical ML), statistical modeling, and regression methods.

Educational background in Statistics, Mathematics, Physics, Chemistry, Data Science, Computer Science, Engineering, or a related quantitative field.

Strong experience with Snowflake

Experience with GenAI concepts, tools, or applied use cases.

Strong experience preparing, wrangling, and transforming structured datasets.

Ability to work independently with minimal direction while managing multiple analytical workstreams.

Excellent communication, data storytelling, and stakeholder management skills.