Data Scientist at LiveRamp

San Francisco, California, United States

LiveRamp Logo
$120,000 – $180,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Management, SoftwareIndustries

Requirements

Candidates should possess a Bachelor's degree with 3+ years of experience or a Master's degree with 1+ years of experience, demonstrating a strong command of probability and statistics. Proficiency in SQL and Python for data and statistical analysis is essential, along with familiarity with data science toolkits like Pandas, NumPy, and scikit-learn. Understanding of cloud platforms such as AWS or GCP and relational databases is required, complemented by strong problem-solving skills, attention to detail, and time management abilities. Experience with ad-tech or a keen interest in the ad-tech market and related measurement is preferred, as are excellent communication and organizational skills. Familiarity with randomized-controlled trials, A/B testing, and mar-tech/ad-tech measurement, along with strong understanding of large-scale data analysis and optimizing Spark jobs, are considered advantageous.

Responsibilities

The Data Scientist will lead measurement initiatives, developing KPIs and learning plans for LiveRamp customers to support their marketing objectives. They will develop, implement, and maintain analytics systems, tools, and frameworks, and design approaches for observational analytics and experimental methods. Responsibilities include consulting with clients and internal teams on audience strategy, experimental design, data requirements, and post-campaign measurement. The role involves hands-on data analysis to drive insights, answer business questions, and enable campaign optimization, as well as creating presentations and communicating complex analytical concepts. The Data Scientist will also build expertise in data sources for enrichment and collaboration, gather requirements from customer stakeholders, and build client relationships. This role requires close collaboration with product and engineering teams to support cloud infrastructure and translate client needs into product improvements and new analytical offerings.

Skills

Data Analysis
Statistical Modeling
Data Mining
Experimental Design
KPI Development
Data Visualization
Communication
Problem-Solving

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

Benefits

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

Risks

Competitors' adoption of data clean rooms may dilute LiveRamp's market share.
DIRECTV partnership success depends on streaming platform user growth.
Life360's ad business growth could conflict with LiveRamp's existing clients.

Differentiation

LiveRamp offers a fully interoperable infrastructure for end-to-end addressability.
The platform ensures safe and responsible consumer data usage, crucial in today's privacy-conscious world.
LiveRamp's subscription model provides clients with data onboarding, identity resolution, and connectivity.

Upsides

Growing demand for data clean rooms enhances LiveRamp's market position.
Phasing out of third-party cookies boosts interest in identity resolution solutions.
Partnerships with streaming platforms expand LiveRamp's digital advertising reach.

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