- CVS Health (Woonsocket, RI)
- …locations - this role is a great fit. **Key responsibilities** + Solve complex forecasting problems by translating business needs into data science use cases and ... by merchandising and planning teams + Familiarity with feature engineering for forecasting using pricing, promotion, and assortment data and simulation… more
- Humana (Providence, RI)
- …and Humana's services using technology and analytics. We are looking for a Senior Data Scientist who will utilize cutting-edge AI, NLP, GenAI techniques, build ... team of Data Scientists with broad skills and applications, the Senior Data Scientist will work cross-functionally and collaboratively with teams across the… more
- Meta (Providence, RI)
- **Summary:** As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of ... structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist , Product Analytics Responsibilities: 1. Work with large and… more
- Insight Global (Woonsocket, RI)
- Job Description Insight Global is hiring a remote Data Scientist for a global pharmacy retail company. This candidate will be supporting a team that is focusing ... on data analytics and reporting for store operations support. This...This candidate will be responsible for predictive models, demand forecasting and impact measurement. The ideal candidate will be… more
- Meta (Providence, RI)
- …click "Apply to Job" online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Utilize advanced knowledge of quantitative analysis, ... management science, data mining, mathematics,...Scikit-learn, dplyr, or ggplot2 25. 7. Statistics methods: inferential, forecasting , time series, hypothesis testing, clustering and regression analysis… more
- Meta (Providence, RI)
- …To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist , Analytics Responsibilities: 1. Work with large and complex data ... and statistical approaches. 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop… more