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As a Data Scientist, you'll manage data science projects involving ML techniques, code development in Python and PySpark, and collaborate across teams. You will mentor juniors and contribute throughout the project lifecycle from analysis to deployment.

The Data Scientist will manage end-to-end data projects focusing on knowledge graphs and identity, mentor juniors, and ensure high-quality code and documentation.

Build and operate AI-native GTM systems that integrate Salesforce, Gong, Snowflake, and proprietary viewership data. Architect MCP servers, RAG pipelines, and agentic workflows using Python/JavaScript and Claude. Design eval frameworks, monitor production LLMs, run A/B tests, automate seller workflows, and enable revenue teams with documentation and training to drive pipeline and revenue impact.

Lead product marketing strategy for publishers and platform customers, ensuring commercial readiness, developing messaging for technical audiences, and driving adoption of data solutions.

Manage the product roadmap and integrations for third-party platforms in ad tech, ensuring seamless solutions for clients and maintaining partner relationships.

The SVP of Marketing at Samba will build the brand, lead marketing strategy, integrate AI into marketing processes, and strengthen industry presence.

Lead the identity infrastructure and data connectivity strategy at Samba, collaborating with teams to enhance audience targeting and data interoperability.

The Product Manager will lead OEM platform integrations, manage certification programs, and drive strategic initiatives for Samba TV's technology across devices, ensuring high-quality deployment and collaboration with engineering teams and partners.

The Measurement Analyst will handle data extraction and analysis, manage JIRA workflows, and incorporate AI to enhance processes, providing insights for media measurement.

The Data Scientist role involves developing measurement models, writing production-quality code in Python, and collaborating with teams to optimize data pipelines and ML workflows.