Data Scientist at LiveRamp

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Marketing, TechnologyIndustries

Requirements

Bachelors with 3+ years of experience or Masters with 1+ years of experience
Strong command of probability and statistics
Fluency in data and statistical analysis using SQL and Python
Strong command of data science toolkits (Pandas, NumPy, scikit-learn, etc.)
Understanding of cloud platforms (AWS, GCP, etc.) and relational databases
Strong problem-solving skills
Attention to detail and time management, producing high quality, client-ready analytic deliverables across multiple projects and client engagements
Experience with ad-tech or curious about the ad-tech market and related measurement
Comfortable adapting to the latest tools and curious to explore industry best practices
Strong oral and written communication and organizational skills
Preferred Skills
Familiarity with fundamentals of randomized-controlled trials, A/B testing, and mar-tech/ad-tech measurement
Excellent communication skills - the ability to work cross functionally, with internal and external stakeholders, to translate product requests into features and analysis into business objectives
Strong understanding of large-scale data analysis, fine-tuning of Spark jobs, and optimizing Spark SQL/PySpark models
Knowledge of Business Intelligence tools to build visualizations
High EQ

Responsibilities

Help lead measurement initiatives; develop KPIs and learning plans for LiveRamp customers in support of their marketing objectives
Develop, implement, and maintain analytics systems, tools, and frameworks that enable efficient analysis for customers
Design approaches for observational analytics, including mining multi-dimensional datasets, and experimental methods to build templates and libraries of analysis that can scale across various customer use cases and verticals
Consult and advise clients and internal teams on audience strategy, experimental design, data requirements gathering, and post-campaign measurement using statistical and mathematical concepts to drive business solutions and actionable recommendations
Get hands-on with customer data to drive insights, answer key business questions, and enable campaign optimization
Create compelling presentations and effectively communicate complex analytical concepts to business and technical audiences
Speak and present both internally and externally, leveraging data to tell a story
Build up a strong understanding and expert knowledge of the various data sources brought together for data enrichment and collaboration
Work directly with customer stakeholders to gather requirements, communicate updates and findings, and build relationships

Skills

Analytics

KPIs

Observational Analytics

Experimental Design

Statistics

Data Mining

Audience Strategy

Campaign Optimization

Presentations

LiveRamp

Identity platform for people-based marketing

About LiveRamp

LiveRamp offers an identity platform that connects people, data, and devices for effective marketing. This platform supports people-based marketing, allowing businesses to target their audiences more accurately. LiveRamp operates on a subscription model, providing services like data onboarding and identity resolution to help clients unify and analyze their data. The company aims to empower businesses to use data responsibly while enhancing customer experiences.

San Francisco, CaliforniaHeadquarters

2011Year Founded

$15.6MTotal Funding

IPOCompany Stage

Data & Analytics, Consumer SoftwareIndustries

1,001-5,000Employees