Heading
New York
Internship
Onsite
Intern
LiveRamp is the leading data connectivity platform, aspiring to make it safe and easy for companies to use data effectively. The Co-op role in Data Science involves applying statistical and machine learning techniques to real-world problems, contributing to mission-critical projects, and working in a collaborative environment.
Apply NowResponsibilities
- Use statistical and ML based techniques to reduce selection bias, build representative samples, and analyze randomized studies in the ad-tech space.
- Design and implement data models that measure ad performance across large, disparate datasets, within our data science and engineering teams,
- Prototype new statistical and data modeling frameworks, translate prototypes into SQL and PySpark workflows, and then drive those prototypes into production.
- Work in multiple cloud environments such as GCP, and help build, monitor, and troubleshoot automated modeling jobs using technologies such as Airflow and BigQuery.
- Suggest and make improvements to internal and external models by understanding the key ingredients and underlying assumptions of the models.
Qualification
Required
- Possess strong mathematics, statistics and computer science skills that you are ready to turn into industry-ready skills.
- Background? Pursuing a degree in a Data Science related field (e.g. Mathematics, Statistics, Computer Science, Physics or other STEM degrees).
- Excited to learn new data science techniques and technologies.
- Willing to dive in and learn by doing.
- Ready to work with others to solve hard problems.
- Possess a startup personality: smart, ethical, friendly, hard-working and proactive.
- Excited to work with products that have close interactions with customers.
Preferred
- Strong background in probability and statistics, experience implementing statistical models in SQL, and familiarity with fundamentals of randomized control trials.
- Strong command of common data science toolkits (Pandas, Numpy, Matplotlib, sci-kit learn).
- Experience writing SQL and working with relational databases.
- Experience contributing to a mature Python-centric code base.
- Understanding of software engineering fundamentals such as object oriented programming, computational complexity, version controlling with git, and experience in command line interfaces such as bash.
- Experience working with large datasets
- Experience with GCP and/or AWS cloud providers
- Experience with Agile software development.