Develops advanced analytics solutions including customer segmentation, optimization, test & design of experiments and prescriptive analytics to solve business problems.
Requirements
- Programming languages including R, or Python
- Data visualization tools including Spotfire or Tableau
- Modeling techniques including Prediction Modeling, and Regression
- Machine Learning algorithms using Python or R
- Cloud tools/Databases including SQL, Oracle or Snowflake
- Data Analysis using statistical tools including ANOVA
- Data management using Excel
Responsibilities
- Develops advanced analytics solutions including customer segmentation, optimization, test & design of experiments and prescriptive analytics to solve business problems.
- Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.
Other
- Employer will accept a Bachelor's degree in Analytics, Engineering, Statistics, Project Management, or a related field and 2 years of experience in the job offered or in a Data Science related occupation.
- 5% Domestic (US) travel is required.
- Telecommuting and/or working from home may be permissible pursuant to company policies.
