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About the Role
Shape Samba's data science function for the agentic era of advertising, defining modeling methodology, building production ML systems, and applying modern AI and agentic capabilities across data products. This role involves active collaboration with engineering, product, and partner teams, and advocacy for rigorous, defensible modeling practices.
Responsibilities
- Own end-to-end delivery of data science projects, from problem scoping through production deployment.
- Build production-quality Python and PySpark on Databricks that is well-tested, documented, and reusable.
- Define and ship the modeling methodology behind Samba's data products, including model selection, evaluation frameworks, and reproducibility standards.
- Apply core ML and statistics to billion-row, real-world data.
- Partner with Data Engineering to define data requirements, validate pipelines, and ensure model inputs are reliable and production-ready.
- Build and operate advanced AI systems using retrieval-augmented generation (RAG), large language model (LLM) augmented modeling, and Graph Neural Networks.
- Integrate LLMs and agentic workflows into production ML pipelines.
- Drive technical design for modeling components and translate business requirements into modeling solutions.
- Mentor data scientists through feedback, pairing, and design review.
- Establish and operate MLOps practices, including experiment tracking, Airflow orchestration, model monitoring, and retraining workflows.
- Apply privacy-compliant data handling, including GDPR, CCPA, and Samba's data governance policies.
Requirements
- 8+ years of hands-on data science experience with a Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field (6+ with a Master's, 3+ with a PhD), or equivalent practical experience.
- Demonstrated ability to own and deliver complex, multi-sprint data science projects from problem scoping through production deployment.
- Track record of building methodology, not just applying it.
- Solid command of core ML and statistics, including neural networks, regression, classification, clustering, model evaluation, experimental design, and causal inference, applied to billion-row datasets.
- Advanced Python with production-quality, tested code.
- Strong SQL and PySpark.
- Hands-on production experience with Databricks, Delta Lake, Airflow, AWS, and GCP.
- MLOps proficiency in experiment tracking, model monitoring, and reproducible deployment.
- Production experience with vector databases (Pinecone, Weaviate, Milvus, pgvector, or equivalent).
- Experience designing and operating agentic AI systems, including prompt engineering, agent orchestration, tool use, or integrating LLMs into ML pipelines.
- Clear communicator who translates technical work into design docs and cross-functional conversations.
- Active mentor who gives direct feedback and raises the bar for the team.
- Preferred: knowledge graph design (RDF, OWL, SPARQL), natural language processing, an adtech, CTV, ACR, identity resolution, or measurement background, and causal inference experience (A/B testing, synthetic control, uplift modeling).
Skills
- Python
- PySpark
- Databricks
- MLOps
- Retrieval-Augmented Generation (RAG)
- Large Language Models (LLM)
- Graph Neural Networks
- Vector Databases
- Prompt Engineering
- Agent Orchestration
- Tool Use
- SQL
- Delta Lake
- Airflow
- AWS
- GCP
- Experiment Tracking
- Model Monitoring
- Reproducible Deployment
- GDPR
- CCPA
- Knowledge Graph Design
- Natural Language Processing
- Causal Inference
- A/B Testing
- Synthetic Control
- Uplift Modeling
Experience Level
- 8+ years of hands-on data science experience
- 6+ years with a Master's degree
- 3+ years with a PhD
Education Level
- Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field
- Master's degree
- PhD
About the Company
- Samba connects the advertising industry by providing a consented first-party data and AI platform that offers a clear view across different media platforms.
- The company is building the foundation and AI agents for the next era of advertising, which will run on trusted data.
Equal Opportunity
- Samba is an equal opportunity employer.
- We collect personal information directly from you when you apply. Where the law permits, we may also receive it from third parties, such as through background, employment, or reference checks. For details, see Samba’s Applicant Privacy Policy.
- For EU residents, Samba Inc. is the data controller.
- We may use AI tools to help review applications, analyze resumes, or assess responses. These tools support our recruiting team. People make every hiring decision. To learn more about how we process your data, please reach out.