LiveRamp is the leading data collaboration platform for the safe and effective use of data. Our platform powers people-based customer experiences that improve the relevance of marketing and allow consumers to connect with the brands and products they love. LiveRampers thrive on building together with curiosity and humility—and have a good bit of fun along the way. We’re always looking for smart, kind, and creative people to grow our team and impact.
Mission: LiveRamp makes it safe and easy for businesses to use data effectively.
Get ready for the best learning experience of your life. You will receive the same orientation training as our full-time engineers, you will be matched with an individual mentor, and you will be committing production code by the end of your first week. In the course of your Co-Op, you will be tasked with one or more mission-critical projects and make meaningful contributions to LiveRamp's success.
We are seeking Co-Op candidates interested in applying data science to the ad-tech space.
Join our Insights Engineering team.
You will:
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.
About you:
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 Skills:
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
More about us:
LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles—one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp.
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Identity platform for people-based marketing
No salary listed
San Francisco, CA, USA
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LiveRamp offers an identity platform that connects people, data, and devices for effective marketing. This platform enables businesses to engage in people-based marketing, allowing for precise targeting of customers. LiveRamp operates on a subscription model, providing services like data onboarding and identity resolution to help clients unify and analyze their data. The company's goal is to empower businesses to use data responsibly while enhancing customer experiences.
Company Size
1,001-5,000
Company Stage
IPO
Headquarters
San Francisco, California
Founded
2011
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Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
401(k) Company Match
Remote Work Options
Unlimited Paid Time Off
Paid Holidays
Paid Parental Leave
Employee Stock Purchase Plan
Wellness Program
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