The organization is looking to build and develop its data infrastructure and support senior leadership with insights, management reports, and analysis for decision-making processes.
Requirements
- Experience using statistics and machine learning to solve complex business problems
- Experience conducting statistical analysis with advanced statistical software
- Experience scripting languages, and packages
- Experience building and deploying predictive models
- Experience web scraping, and scalable data pipelines
- Experience with big data analysis tools and techniques
- Strong experience with R/RStudio, Python, SAS, SQL, NoSQL
Responsibilities
- Performs advanced analytics methods to extract value from business data.
- Performs large-scale experimentation and build data-driven models to answer business questions.
- Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
- Determines requirements that will be used to train and evolve deep learning models and algorithms.
- Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring.
- Influences product teams through presentation of data-based recommendations.
- Evangelizes best practices to analytics and products teams.
Other
- Master’s Degree in computer science, statistics, economics or related fields
- 3+ years of work and/or educational experience
- Demonstrated ability to communicate complex results to technical and non-technical audiences
- Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
- Tobacco-Free Hiring Practice
