Time Series and Web Analytics Data Scientist

The successful candidate will have extensive experience in applied methods such as predictive modeling, classification, and causal inference. They will also have experience in building reporting dashboards and using these methods to drive key business insights. This role requires a broad knowledge of data mining algorithms, a strong business sense, and the creativity to innovate and customize as needed. You will work closely with a variety of data professionals and business leaders on projects to drive real-world business value. Responsibilities include evaluating the impact of promotional/seasonal campaigns on sales, collaborating on planning tool development, exploring complex data sources to understand customer behavior, and guiding the translation of business requirements into technical implementation specifications for web and native app platforms.