Epsilon is seeking a PhD Data Science Intern to apply academic research and machine learning skills to propose effective solutions for technology and business challenges within their personalization platform, which analyzes vast amounts of anonymized data online to assess advertising opportunities in real-time.
Requirements
- Currently enrolled in a PhD program with relevant coursework, research, and background in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field
- Hands-on involvement with research projects involving formulating hypotheses, exploring data, and developing models for insights
- Established track record in developing and validating machine learning models, with a strong understanding of model performance evaluation and optimization
- Proficiency in one or more programming languages such as Python, Scala, SQL, or R
- Experience working with big data technologies such as Hadoop, Spark, Cassandra, or MPP databases
- Proven capacity to communicate complex data science concepts, methodologies, and findings to diverse audiences
- Ability to conduct independent research to identify and recommend the best approaches for solving complex technology and business problems
Responsibilities
- Apply your academic research and machine learning skills to propose effective solutions for our technology and business challenges.
- Undertake a research project addressing a specific technology or business challenge, allowing you to apply your machine learning expertise practically.
- Develop innovative solutions, with a high degree of autonomy, contributing to work that has the possibility of future integration into production systems.
- Apply your field of study to solve real problems with an opportunity to directly impact our business, gaining hands-on experience with internet-scale data and industry-level applications.
- Formulating hypotheses, exploring data, and developing models for insights.
- Developing and validating machine learning models, with a strong understanding of model performance evaluation and optimization.
- Communicate complex data science concepts, methodologies, and findings to diverse audiences.
Other
- Currently enrolled in a PhD program
- Formal 12-week summer program
- Receive mentorship and feedback to help you successfully present your findings and approach to the entire Decision Sciences department.
- High degree of autonomy
- Opportunity to directly impact our business
