Samba
Product Engineering
SeniorDataScientist
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“Senior Data Scientist at Samba. Skills: Data Science, ML Development, AI Systems, MLOps. Own end-to-end delivery of data science projects. Define and ship modeling methodology”
What You'll Achieve.
Improve as signals evolve; Unlock new product surfaces
Industry & Context.
Problem scoping
What They're Looking For.
Must Have
8+ years data science experience, Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, or related quantitative field, Solid command of core ML and statistics, Production experience with vector databases, Advanced Python, Production-quality, tested SQL, Production-quality PySpark, Databricks experience, Delta Lake experience, Job orchestration experience, AWS hands-on production experience, GCP hands-on production experience, Databricks hands-on production experience, MLOps proficiency, Experience designing and operating agentic AI systems in production
Nice to Have
6+ years with Master's degree, 3+ years with PhD, Knowledge graph design, Natural Language Processing background, Ad tech background, CTV/OTT background, ACR background, Audience activation background, Identity resolution background, Measurement methodologies background, Experience with causal inference, A/B testing experience, Synthetic control experience, Uplift modeling experience
What You'll Do.
Own end-to-end delivery of data science projects
Define and ship modeling methodology
Apply ML and statistics to data
Build production-quality Python
Build production-quality PySpark
Partner with Data Engineering
Define data requirements
Validate data pipelines
Ensure model inputs are reliable
Build and operate advanced AI systems
Design AI-driven modeling approaches
Integrate LLMs into ML pipelines
Integrate agentic workflows into ML pipelines
Drive technical design for modeling components
Produce solution documents
Translate business requirements into modeling solutions
Uphold high standards for data science
Mentor data scientists
Establish and operate MLOps practices
Apply privacy-compliant data handling practices
How You'll Work.
Team & Collaboration
Close collaboration with product; Close collaboration with engineering; Close collaboration with go-to-market partners; Cross-functional conversations
Communication Scope
Translate technical work; Design docs; User stories; Cross-functional conversations
Process & Methodology
Experiment tracking, Pipeline orchestration, Model monitoring, Retraining workflows, Reproducibility standards
Full Job Description
## Description Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant. ## What You'll Do Modeling and ML Development Own end-to-end delivery of data science projects, from problem scoping through production deployment. Define and ship modeling methodology that powers Samba's data products, including model selection, evaluation frameworks, and reproducibility standards. Apply solid command of core ML and statistics (regression, classification, clustering, model evaluation, experimental design, causal inference) to billion-row, real-world data. Build production-quality Python and PySpark on Databricks: well-tested, documented, reusable. Partner with Data Engineering to define data requirements, validate pipelines, and ensure model inputs are reliable and production-ready. AI and Agentic Capabilities Build and operate advanced AI systems using modern methodologies: retrieval-augmented generation (RAG), LLM-augmented modeling and Graph Neural Networks. Design AI-driven modeling approaches that improve as signals evolve, supporting agentic decision-making at platform scale. Integrate LLMs and agentic workflows into production ML pipelines where they extend modeling capability and unlock new product surfaces. Technical Contribution and Collaboration Drive technical design for modeling components within your scope, producing clear solution documents covering problem statement, approach, metrics, and trade-offs. Translate business requirements into modeling solutions in close collaboration with product, engineering, and go-to-market partners. Uphold high standards for prod
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