Data Scientist, Upside

• Master’s degree or Ph.D. in a quantitative field (Statistics, Data Science, Economics, Physics, or related) with 2+ years of experience, or 4+ years of professional experience in data science or advanced analytics (advanced degree optional)
• Proven track record framing open-ended problems, conducting analyses, and producing data-driven recommendations
• SQL mastery, experience working with large data-sets on the cloud a plus
• Proficiency in Python and statistical and machine learning libraries (e.g., scikit-learn, statsmodels, xgboost)
• Comfort with ambiguity and constraints — you thrive in situations with incomplete specs, evolving requirements, and operational challenges, and can deliver high-quality solutions despite them

Desirable

• You’ll work with peers who have experience developing ML models designed for production with the support of a dedicated engineering team
• You’ll align closely with analysts, stakeholders, and data engineers across the company to define solutions to pressing problems
• Your work will directly and measurably impact the company’s revenue by innovating on our offer pricing and recommendation systems
• We foster a collaborative environment where you’ll have ownership of your modeling efforts and actively participate in project creation and planning
• Own the entire machine learning lifecycle – from framing ambiguous business problems to delivering measurable impact in production
• Dig into complex data to design, run, and refine analyses through well-structured, performant SQL
• Engineer, validate, and deploy real-time ML models–including building the data pipelines, writing production inference code, and monitoring model performance
• Design and execute experiments to measure business impact, troubleshoot unexpected outcomes, and iterate quickly
• Effectively translate results of experiments and analyses into actionable insights for stakeholders and leadership with a variety of technical backgrounds