Senior Data Scientist

Quick Facts

• Role: Senior Data Scientist

Description

Use a diverse mix of math and computer science to solve complex, analytically challenging problems and deliver data science projects with meaningful strategy recommendations.

Responsibilities

• Partner with business leaders in Marketing, Product, Operations, and Buying to plan valuable data science projects

• Conduct complex analysis and build models to uncover key learnings and recommend strategy

• Collaborate with the DBA to improve BI infrastructure, architect reporting systems, and run technical proof of concepts

• Work with Business Intelligence and technology teams to define, automate, and validate extraction of new metrics from multiple data sources

• Apply findings and models across website personalization, product recommendations, marketing optimization, fraud detection, demand forecasting, and CLV prediction

Requirements

• Master’s degree required

• 3+ years of DS and ML experience in a strong analytical environment

• Proficient in Python, NumPy, and other packages

• Knowledge of quantitative methods in statistics and machine learning, including causal inference, logistic regression, tree-based models, clustering, model validation, and interpretation

• Experience with A/B testing and pseudo-A/B test setup and evaluations

• Advanced SQL experience including query optimization and data extraction

• Ability to build, validate, and productionize models

• Strong analytical skills with an academic background in statistics, math, science, or technology

Benefits

• Base salary range estimate: $120,000 to $150,000 per year