LiveRamp is a technology company that facilitates the secure sharing of customer data so that marketer’s can better create experiences for their customers across online and offline channels. LiveRamp connects customers, data, and devices across the digital and physical worlds giving businesses an integrated view of their customers.
LiveRamp’s technology infrastructure enables the secure integration of data and customer information, allowing marketers to create incredibly personal, high-quality experiences for their customers. LiveRamp’s powerful platform allows marketers to reach and activate key audiences across various channels in real-time on desktop, mobile, and connected devices.
LiveRamp utilizes the latest in data analysis strategies, machine learning algorithms, and AI technology to ensure their customers have access to the latest and most accurate customer data. LiveRamp also provides a suite of products and services to ensure customers are able to maximize their return on data investments and deliver the most impactful experiences to their customers.
LiveRamp also provides cutting-edge security and privacy practices for their customers, as well as industry standards for data protection, like US-EU Privacy Shield, GDPR, and CCPA. They also provide compliance reviews, security audits, and data encryption to ensure their customers can trust the data they are collecting, sharing, and using.
LiveRamp is a great place to work and is always looking for new talent to join their team of innovative and technology-minded individuals. They are looking for software engineers, IT professionals, security analysts, and data scientists who are interested in finding inventive solutions to complicated data problems. LiveRamp supports and encourages their personnel to push boundaries and create unique solutions to challenging problems.
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Data Scientist
Average Work Hours (weekly unless noted): 40-50
Average Salary (yearly in dollars unless noted): $90,000 - $130,000
Description: The Data Scientist at LiveRamp is a key member of our analytics and data engineering teams, responsible for understanding business objectives, designing and developing predictive models to achieve them and maximize their value, advocating best practices to key stakeholders, and providing insights to inform our strategic roadmap. This position will require solid technical experience, an ability to understand the business context, and a passion for data-driven decision making.
Qualifications / Requirements: A minimum of a bachelor’s degree in a quantitative field such as mathematics, computer science, or statistics; 3+ years of experience in applied data science or ML; prior experience with large datasets and distributed processing systems such as Hadoop/Spark; strong programming experience in Python and/or Scala; and experience with machine learning algorithms, deep learning, predictive modeling and optimization.
My experience at LiveRamp has been extraordinary - the team I work with is comprised of extremely talented, passionate people, and the environment is incredibly supportive and the resources are always up-to-date. I feel like our team genuinely cares about the success of our company, and it's a great atmosphere to work and grow in. I'm excited to be a part of LiveRamp for the long-term.
Austin N..
Review Rating:
4.7/5
4.7
LiveRamp is an incredible place to work! I'm surrounded by intelligent and enthusiastic people who work together to make sure we get the job done. Even amidst the challenges of working with cutting edge technology, LiveRamp encourages creative solutions and collaboration. I'm really proud of the things I've done here, and I can't wait to see what the future holds.
Annabel L..
Review Rating:
4.8/5
4.8
I've been at LiveRamp for a year now and it continues to be one of the most rewarding jobs I've ever had. Whether it's problem solving with my teammates, exploring creative ideas in our design sprints, or taking initiative on projects to see them come to fruition, I always feel well supported. Everyone from the leadership team to the new hires is incredibly helpful and caring.
Sara B..
Review Rating:
4.9/5
4.9
LiveRamp is an amazing place to work if you are looking for incredible challenges and the potential to grow. The team atmosphere here is incredibly supportive and helpful, and everyone is willing to go the extra mile for the benefit of the company. I've never seen such a perfect combination of innovation, hard work, and collaboration.
Ethan M..
Review Rating:
4.5/5
4.5
I was a LiveRamp employee during my college years, and I've continued to be impressed by the organization. LiveRamp really emphasizes learning, whether it's attending educational seminars or teaching employees new skills. The corporate culture is truly inspiring, and it's clear that the company is focused on making an impact on the world.
Frequently Asked Questions
What is the purpose of a Data Engineer at LiveRamp?
The Data Engineer is responsible for developing and maintaining business intelligence, data engineering, software engineering and analytics solutions.
What kind of qualifications are necessary for a Technical Solutions Engineer?
The ideal candidate will have a minimum of 2 years of experience in a technical engineering role, must have experience in software engineering and experience with object-oriented programming, web development and DevOps.
What technologies do you use for Data Science?
At LiveRamp, we use a variety of technologies to facilitate data science, from natural language processing and machine learning technologies such as Scikit Learn, Tensorflow and Keras, to distributed computing frameworks like Spark and Hadoop.
What does a Senior Software Engineer at LiveRamp do?
The Senior Software Engineer is responsible for designing, developing and maintaining software applications. They must be able to clearly communicate design strategies and educate other team members on software development methods.
What is the job of a Data Scientist?
The Data Scientist is responsible for gathering, analyzing, and interpreting large data sets to find patterns and correlations. They must also have the ability to use machine learning models to make predictions, build algorithms to optimize processes, and identify key insights for business operations.
Locations: New York, Amsterdam, San Francisco, London, Paris, Tokyo, Singapore
Career Paths: Data Scientist, Software Engineer, Product Manager, Security Engineer, DevOps Engineer, Technical Support Engineer, Data Analyst, Quality Assurance Analyst, System Administrator, UX Designer
My experience at LiveRamp has been extraordinary - the team I work with is comprised of extremely talented, passionate people, and the environment is incredibly supportive and the resources are always up-to-date. I feel like our team genuinely cares about the success of our company, and it's a great atmosphere to work and grow in. I'm excited to be a part of LiveRamp for the long-term.
What is the purpose of a Data Engineer at LiveRamp?
The Data Engineer is responsible for developing and maintaining business intelligence, data engineering, software engineering and analytics solutions.
What kind of qualifications are necessary for a Technical Solutions Engineer?
The ideal candidate will have a minimum of 2 years of experience in a technical engineering role, must have experience in software engineering and experience with object-oriented programming, web development and DevOps.
