Lead Engineer Data Science - US Based Remote - Full-time

Position Overview

Work back from the business problems to be solved by collecting proper data for various analyses, selecting appropriate machine learning and/or large language modeling approaches, and eventually rolling out the models in a production environment to perfect business decisions. In addition, lead projects, coach junior data scientists, and maintain a collaborative relationship with business partners.

Key Responsibilities

• Deeply understand business needs and translate them into technical projects.
• Identify appropriate data sources, perform data aggregations, and execute feature engineering as needed.
• Write Python code to create visualizations, build, and implement models.
• Be flexible and open to innovative ideas and alternative solutions.
• Present results to non-technical partners and influence the adoption of predictive models.
• Coach junior associates throughout projects.

Required Qualifications

• Master's degree (or higher) in Statistics, Data Science, Mathematics, Economics, or a related analytical discipline.
• At least 5 years’ experience building end-to-end models in Python for production environments.
• At least 2 years’ experience in leading projects and coaching junior associates.
• Proficiency in SQL and Python programming languages.
• In-depth understanding of statistical methods and machine learning algorithms; exposure to large language models is a plus.
• Expertise with techniques such as Linear Regression and GLM, Random Forest, GBM, XGboost, and various segmentation techniques.
• Excellent communication skills with the ability to work on large-scale, cross-functional projects.

Benefits & Perks

• Award-winning Culture: Recognized as a Great Place to Work, Forbes World's Best Employers, Newsweek World's Most Trustworthy Companies, and Ethisphere World's Most Ethical Companies.
• People-first Culture: An environment that fosters empowerment, innovation, and cross-company collaboration.
• Opportunity to work with industry-leading brands while contributing to transformative real estate projects.
• Learn more about our culture and values in our Impact Report.