Summary
Ten week summer internship for master s students to build predictive models and scalable code, perform exploratory data analysis, and communicate insights to stakeholders within a retail data science team. The role offers experience with large enterprise data sets across web, point of sale, supply chain, and customer domains.
Responsibilities
- Build predictive models and algorithms to solve business problems
- Design and implement production level scalable code and algorithms
- Conduct exploratory data analysis and apply statistical methods
- Visualize findings and present insights to stakeholders
- Collaborate with data scientists and analysts on projects
- Work with enterprise datasets across multiple retail systems
- Apply forecasting and time series analysis techniques
Requirements
- Enrolled in a master s degree program in math statistics computer science analytics or related field
- Minimum 2 years of full time industry work experience between undergrad graduation and master s program
- Experience with querying languages such as Hive Presto or SQL
- Proficiency in preprocessing and analysis tools such as Unix Python R
- Experience with regression modeling prediction forecasting and time series analysis
- Familiarity with machine learning methodologies including supervised and unsupervised learning
- Strong technical communication and ability to work collaboratively and independently
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