Program - data science
Overview
How You’ll Make an Impact Epsilon is seeking a PhD Data Science Intern to join our Decision Sciences Team. As a Data Science Intern, you will apply your academic research and machine learning skills to propose effective solutions for our technology and business challenges. Your research background will determine your placement in one of our six Decision Sciences teams, each enhancing various aspects of our personalization platform. Epsilon's personalization relies on analyzing vast amounts of anonymized data online to assess a trillion advertising opportunities monthly in real-time. Epsilon’s PhD Internship Program As an intern, you’ll participate in a formal 12-week summer program developed to provide you with a comprehensive grasp of digital marketing and Epsilon’s personalization platform. During your internship, you’ll undertake a research project addressing a specific technology or business challenge, allowing you to apply your machine learning expertise practically. Lastly, you’ll receive mentorship and feedback to help you successfully present your findings and approach to the entire Decision Sciences department. What You’ll Achieve- Impact: Develop innovative solutions, with a high degree of autonomy, contributing to work that has the possibility of future integration into production systems.
- Career Growth: 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.
- What you’ll bring with you:
- 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
- Why you might stand out from other talent:
- 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
- Act with integrity. We are transparent and have the courage to do the right thing.
- Work together to win together. We believe collaboration is the catalyst that unlocks our full potential.
- Innovate with purpose. We shape the market with big ideas that drive big outcomes.
- Respect all voices. We embrace differences and foster a culture of connection and belonging.
- Empower with accountability. We trust each other to own and deliver on common goals.
- Time to Recharge: Flexible time off (FTO), 15 paid holidays
- Time to Recover: Paid sick time
- Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance
- Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling
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