Ontology Engineer-Knowledge Graph & Identity

Samba; San Francisco (CA); On-site; USD 32,858 - 54,764; Full time

Job summary

Samba, located in San Francisco, California, is seeking a Data Scientist to contribute to various data science projects across their lifecycle. The ideal candidate will develop and test high-quality Python and PySpark code on Databricks and apply core machine learning techniques to complex datasets.

Applicants must hold a Bachelor’s degree in a relevant field, with a Master’s preferred, and have 1-2 years of hands-on data science experience. The company offers a salary range of 120,000 zł to 200,000 zł annually.

Qualifications

• 1 to 2 years of hands-on data science experience managing complex projects.
• Ability to write production-quality Python code with testing and documentation.
• Solid understanding of core ML techniques applied to large datasets.

Responsibilities

• Contribute to data science projects from problem analysis through to model deployment.
• Develop and test Python and PySpark code on Databricks.
• Apply core ML techniques to complex, high-volume datasets.

Skills

Python programming

SQL

PySpark

Machine Learning

MLOps practices

Databricks workflows

Education

Bachelor’s degree in Statistics, Data Science, Computer Science or related field

Master’s degree preferred

Tools

Databricks

AWS

GCP

Airflow

Job description

What You’ll Do:

• Contribute to data science projects across the full lifecycle—from problem scoping and exploratory analysis through to model development and deployment—with support from senior team members
• Develop and test Python and PySpark code on Databricks, building clean, documented, and reusable solutions for knowledge graph and identity challenges
• Apply core ML techniques—regression, classification, clustering, and model evaluation—to complex, high-volume datasets, and begin exploring advanced methods such as entity resolution, embedding-based matching, and semantic similarity
• Support MLOps practices including experiment tracking, pipeline orchestration, and model monitoring, adopting DataOps and reproducibility standards throughout
• Break down project requirements into well-scoped tasks with clear acceptance criteria, and contribute to technical documentation covering problem statements, approaches, and metrics
• Collaborate cross-functionally with product, engineering, and operations—translating business requirements into technical tasks and participating in design reviews and working groups

Who You Are:

• Bachelor’s degree required in Statistics, Data Science, Computer Science, Mathematics or a related quantitative field; Master’s strongly preferred
• 1 to 2 years of hands‑on data science experience with demonstrated ability to own and deliver complex, multi‑sprint projects independently
• Python with production-quality code, testing, and documentation; strong SQL and PySpark for billion‑row datasets
• Databricks workflows, Delta Lake, and job orchestration; working knowledge of cloud platforms (AWS or GCP)
• Solid command of core ML—regression, classification, clustering, model evaluation, and experimental design—applied to complex, high-volume data
• Proficiency with MLOps practices: experiment tracking, pipeline orchestration (Airflow), and reproducible model deployment
• Exposure to modern AI methodologies: RAG systems, LLM‑augmented models, vector databases, and semantic search
• Strong communicator—able to translate technical work into clear documentation, user stories, and cross‑functional conversations

Preferred skills:

• Hands‑on experience with knowledge graph construction, entity resolution, or semantic data modeling (RDF, OWL, SPARQL, or equivalent graph frameworks)
• Familiarity with probabilistic record linkage, identity graph approaches, or embedding‑based entity matching at scale
• Experience with causal inference methods (A/B testing, synthetic control, uplift modeling)
• Experience with deduplication, enrichment, or web‑to‑TV linkage problems
• Background in media, ad tech, or measurement—TV viewership (ACR/STB data), digital audience modeling, cross‑platform measurement (linear + CTV/OTT), or identity resolution in privacy‑constrained environments
• Familiarity with the measurement and identity vendor landscape (Nielsen, Comscore, LiveRamp, The Trade Desk)

Salary:

120,000 zł - 200,000 zł a year

Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.

Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba’s Applicant Privacy Policy. For residents of the EU, Samba Inc. is the data controller.