- Design and build advanced analytical solutions and products to deliver superior business outcomes using research and performing quantitative and qualitative analysis on markets, products and competitors - Prove business impact of projects using methods like experimental designs, cohort matching, and causal inference - Understand underlying data sources and their limitations. Create innovative approaches to answer pressing questions, prepare complex data analyses and models that help solve issues, drive the scaling of automated processes and deliver significant measurable impact - Act as an analytics translator, communicating complex data insights through exploratory analysis and research to discover potential bottlenecks to suggest improvement and workflow of internal teams - Liaise with team members and management in understanding their data needs and providing data support.
- 2-7 years of hands-on mathematical modeling experience in business environment - Proficiency in Python packages such as pandas, seaborn, scikit-learn, dplyr or nltk - Advanced knowledge of statistical and data mining techniques (k-means clustering, regression, decision trees, clustering, neural networks, etc.) - Proven experience in working with large datasets and relational databases (Hive, SQL) - PhD in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. - Distinctive communications skills and ability to communicate analytical and technical content in an easy to understand way to both technical and non-technical audiences. - Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions