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.
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.
Benefits
LiveRamp aspires to make it safe and easy for companies to use data effectively.