The company is looking to solve complex business problems through large scale data science model creation and machine learning across large scale systems and campaigns.
Requirements
- Strong knowledge of data structures and ML and BI tools to analyze large data sets from multiple data sources for both machine learning and exploratory analysis and ad-hoc request
- Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas
- Strong programming skills
- Knowledge of algorithms and predictive models
- Experience with machine learning and data engineering
- Knowledge of statistical techniques and mathematical analyses
Responsibilities
- Builds and facilitates machine learning across large scale systems and campaigns and ensures deployment and updates in partnership with data engineering.
- Facilitates analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses.
- Develops and participates in presentations and consultations to existing and prospective constituents on results and solutions
- Interacts with internal and external peers and managers to exchange complex information related to areas of specialization
- Use strong knowledge in algorithms and predictive models to optimize and scale solutions
- Use strong programming skills to explore, examine and interpret large volumes of data in various forms
Other
- 7+ or more years of progressively complex related experience
- Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
- Master’s degree or PhD preferred
- Demonstrates strong ability to communicate technical concepts and implications to business partners
- Anticipates and prevents problems and roadblocks before they occur
