What You'll Be Doing
Build, deploy, and maintain predictive models in one or more of the following areas:
Search, Product Ranking, Learning-to-Rank, Recommendations Systems, NLP
CRM/Email and eMarketing optimization
Price and promotion optimization
Leads with excellent technical abilities, leadership, strong communication skills, and adaptability to new, cutting-edge research in the field of AI and Machine Learning
Leads the work of others in small groups of four to six data scientists to deliver complex models, analytical projects and solve business problems, and act as a mentor and thought leader for the team
Dive into complex data sets to analyze trends and identify opportunities for improvement.
Support business stakeholders by providing ad-hoc analysis to help drive decision-making.
Collaborate cross-functionally with diverse teams (e.g. marketing operations, technology, merchandising, procurement, apparel design/production) to understand business objectives and design and implement data-driven solutions
Effectively communicate analytical solutions to non-technical stakeholders and senior leadership
What We're Looking For
Minimum 5 years' relevance experience in the industry (excluding internships/co-op/academic projects)
Experience developing multiple machine learning and statistical models and projects for real-world, business problems in productions
Strong algorithmic thinking and passion for empirical research to answer hard questions.
Ability to communicate complex quantitative analysis, analytic approaches and findings in a clear, precise, and actionable manner.
Designing and evaluating A|B experiments and monitoring key product metrics, understanding root causes of changes in metrics.
Working knowledge of big data processing technologies such as Hadoop, Hive, Pig and Spark.
Ability to use SQL to perform data analysis.
Have a BS/MS/PhD in Statistics, Applied Math, Operational Research, Computer Science or related field.