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San Francisco, CA

Internship

Onsite

Intern

LiveRamp is a leading data connectivity platform that aspires to make it safe and easy for companies to use data effectively. The Data Science Co-Op role involves applying statistical and machine learning techniques to enhance ad performance measurement and contribute to mission-critical projects within the Insights Engineering team.

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Responsibilities

Use statistical and ML based techniques to reduce selection bias, build representative samples, and analyze randomized studies in the ad-tech space.
Work hand-in-hand with our data science and engineering teams to design and implement data models that measure ad performance across large, disparate datasets.
Perform R&D work by prototyping new statistical and data modeling frameworks, translating prototypes into SQL and PySpark workflows, and then drive those prototypes into production.
Work in multiple cloud environments such as AWS and GCP, and help build, monitor, and troubleshoot automated modeling jobs using technologies such as Spark and BigQuery.
Troubleshoot 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
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
Experience contributing to a mature Python-centric code base
Strong command of common data science toolkits (Pandas, Numpy, Matplotlib, sci-kit learn)
Experience writing SQL and working with relational databases
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
Knowledge of Big Data stacks such as Hadoop and Spark
Experience with AWS and/or GCP cloud providers
Experience with Agile software development