Senior Data Scientist at LiveRamp | Arkansas | Rezi

Senior Data Scientist at LiveRamp

Senior Data Scientist

LiveRamp · Arkansas

1 months ago

Senior Data Scientist

LiveRamp · Arkansas

a month ago
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About the Role

LiveRamp is the data collaboration platform of choice for the world’s most innovative companies, leading in consumer privacy, data ethics, and foundational identity. We set the standard for building a connected customer view with clarity and context while protecting brand and consumer trust. We offer flexibility to collaborate wherever data lives, supporting diverse use cases within organizations, between brands, and across our global network.

Responsibilities

  • Design, implement, and iterate on production-grade machine learning and statistical models for core identity, entity resolution, and measurement capabilities.
  • Analyze and transform large-scale datasets to uncover insights, engineer features, and improve model performance.
  • Own end-to-end data science workflows, including problem framing, data exploration, modeling, deployment, monitoring, and continuous improvement in collaboration with Engineering.
  • Translate complex technical concepts into clear recommendations for product, engineering, and go-to-market stakeholders.
  • Define and track success metrics, build experimentation and evaluation frameworks to quantify business impact.
  • Partner with Product Management to scope data-driven solutions, validate hypotheses, and de-risk new product investments.
  • Contribute high-quality, well-tested, and maintainable code, documentation, and dashboards.
  • Mentor and support other data scientists and analysts through code reviews, design sessions, and best practice sharing.

Requirements

  • MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related quantitative field, or equivalent practical experience.
  • 3+ years of experience designing, building, and deploying data science or machine learning solutions in a production environment.
  • Proficiency in Python and SQL.
  • Experience using common data and ML libraries and frameworks (e.g., pandas, NumPy, scikit-learn).
  • Experience working with large datasets in a cloud environment and with modern data processing frameworks or warehouses (e.g., BigQuery).
  • Demonstrated ability to frame ambiguous business or product questions as concrete, testable data science problems.
  • Strong analytical and problem-solving skills with a focus on clear measurement, experimentation, and data-informed decision-making.
  • Excellent written and verbal communication skills, including presenting complex technical topics to diverse audiences.
  • A product-focused mindset and a strong bias toward iterative execution.

Skills

  • Python
  • SQL
  • pandas
  • NumPy
  • scikit-learn
  • BigQuery
  • Embeddings
  • Representation learning
  • Large-scale similarity and ranking systems
  • Approximate nearest neighbor search
  • Vector databases
  • Large-scale vector search technologies
  • ML system evaluation frameworks
  • ML system monitoring
  • Offline/online metric alignment
  • Experimentation
  • Google Cloud Platform
  • Dataflow
  • Vertex AI
  • Privacy-preserving data practices
  • Data governance
  • Responsible and ethical use of data
  • Identity
  • Entity resolution
  • Graph-based modeling

Location

  • San Francisco, California

Work Type

  • Remote
  • Hybrid
  • Onsite

Experience Level

  • 3+ years of experience

Education Level

  • MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related quantitative field, or equivalent practical experience.

Salary/Compensations

  • $130,000 to $196,500

Benefits

  • Flexible paid time off
  • Paid holidays
  • Options for working from home
  • Paid parental leave
  • Comprehensive benefits package (medical, dental, vision, life and disability, employee assistance program, voluntary benefits, perks programs)
  • 401K matching plan (1:1 match up to 6% of salary)

About the Company

  • LiveRamp is the data collaboration platform of choice for the world’s most innovative companies.
  • A groundbreaking leader in consumer privacy, data ethics, and foundational identity.
  • Setting the new standard for building a connected customer view with unmatched clarity and context while protecting brand and consumer trust.
  • Offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners.
  • Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.
  • LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people.
  • Inspired teams enlist people from a blend of backgrounds and experiences.
  • 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.
  • Based in San Francisco, California with offices worldwide.

Equal Opportunity

  • LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status.
  • Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.
  • We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know.
  • We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.
  • California residents: Please see our California Personnel Privacy Policy for more information regarding how we collect, use, and disclose the personal information you provide during the job application process.
  • To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.