Data Scientist

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, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp 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.

Responsibilities:

• 6+ years of experience in the development of machine learning models and advanced analytics solutions.
• 3+ years of experience in analyzing large-scale structured and unstructured data from multiple sources.
• 2+ years of strong proficiency in Python, R, or similar programming languages.
• Hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
• Solid knowledge of SQL and experience working with large-scale data infrastructure (e.g., Spark, Hadoop, Snowflake).
• Experience with data visualization tools (e.g., Tableau, Power BI, Plotly).
• Collaborate with product, engineering, and business teams to understand requirements and translate them into analytical solutions.
• Experience deploying models in production environments (e.g., using Docker, MLflow, or cloud services like AWS/GCP/Azure) and monitor their performance..
• Research and stay up to date on the latest data science techniques, tools, and best practices.
• Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, Data Science, or a related field.

Bonus points:

• Familiarity with MLOps practices and tools.
• Experience leading data science projects end-to-end.

Best,

Keertana Mahamkali

Principal Technical Recruiter| LiveRamp

Email: