Ingram Micro's Insights & Recommendation (InR) practice aims to provide IT channel stakeholders with the intelligence to generate more business, expand reach, and achieve pinpoint accuracy in their sales efforts by developing high margin science offerings. The Senior Data Scientist will focus on developing and expanding the science behind Ingram's cloud growth, identifying growth opportunities in the Cloud technology space.
Requirements
- Expertise in Machine Learning algorithms
- Expertise in the Cloud business
- Development and implementation of propensity models at scale
- Experience with optimization techniques
- Expertise with supervised and unsupervised learning techniques
- Experience cleaning, aggregating, and pre-processing large granular data from varied sources and data types
- Experience with tools such as Python, Jupyter Notebooks, SQL, R, STATA, SAS, or MATLAB
Responsibilities
- Develop and expand the science behind Ingram’s cloud growth.
- Use advanced scientific techniques on a world class data infrastructure to develop large-scale models with immediate and long-term relevance.
- Build new and refine existing models to identify growth opportunities in the Cloud technology space.
- Build models, work with large granular data sets, communicate analysis to key internal and external stakeholders, be positioned as a Subject Matter Expert, mentor junior associates, and manage a portfolio of data products.
- Development and implementation of propensity models at scale
- Design and execute field experiments to draw insights from market behavior
- Develop Machine Learning, AI, Econometric, and Statistical models on very large granular transaction level data sets
Other
- B.S. or Masters (Ph.D. preferred) in Computer Science, Statistics, Operations Research, Applied Mathematics, Physics, Engineering, Economics, or related technical field required
- 5+ years of quantitative experience (industry, consulting, government, academics, or post-doc work)
- Ability to apply insights to high impact questions with immediate and long-term relevance
- Effective verbal and written communication skills; the ability to collaborate with internal and external partners
- Please be prepared to pass a drug test and successfully pass a pre-employment (post offer) background check.
