Co-op, Data Science

LiveRamp is the leading data connectivity platform. We believe connected data has the power to change the world. Our platform powers insights and experiences centered around the needs of real people, and in ways that keep the Internet open for all. 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 internship, you will be tasked with one or more mission-critical projects and make meaningful contributions to LiveRamp's success. Also, if our previous interns are any guides, you will have a ton of fun in the process!

Internships are 12 weeks long. Should we want to extend you a full-time offer after you graduate, we ask that you would be willing to consider this at the end of your internship. We are seeking interns interested in full-stack application development and big data back-end engineering.

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 who have recently graduated that are interested in applying data science, machine learning and AI to real world problems. 

This role will require you to work 40 hours per week. 

Join us in the Identity Data Science 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.

• 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.

Your team will: 

Identity Data Science team is responsible for improving and maintaining the company's identity graphs. The team leverages data science techniques, statistical methods, and programming skills to build and optimize models for identity resolution and data connectivity. The focus is on enhancing the accuracy and efficiency of the company's data platforms, enabling businesses to better understand and engage with our customers. 

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.

• 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

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.