The Quantitative Analytics Manager is primarily responsible for leading the development and validation of predictive and machine-learning models for specific business needs using statistics, advanced mathematical techniques, and/or computer science.
Requirements
- SQL/NoSQL
- Relationship data structure
- Selecting and retrieving data including unstructured data retrieval, archival, and ETL
- Databases
- Advanced Python/R/SAS
- Databases
- Efficient coding
Responsibilities
- Create and leverage models, inferential statistics and prescriptive analysis to proactively solve business problems answering the questions “What will happen and what should we do about it?”
- Lead and evangelize on best practices of capturing and retaining data
- Coordinate with data stewards and anticipate needs process/procedures
- Make continuous improvements to data procedures, including data efficiency
- Recommend best analysis method for the situation
- Establish standards and best practices; forecast future modeling tools / techniques
- Identify, employ, and evangelize emerging techniques from industry / research
Other
- Demonstrating leadership through strong communication skills, addressing conflict, coaching others on developing technical skills
- Managing competing priorities and presenting holistic, thoughtful analyses to answer partners’ problem statements
- Prioritizing multiple projects and managing to tight deadlines
- Establishing reputation as an effective and collaborative partner
- Communicating technical theories, observations, and models to a non-technical audience
