Data Scientist - (Knowledge Graph & Identity)

What you'll do

• Contribute to data science projects across full lifecycle from problem scoping to model deployment
• Develop and test Python and PySpark code on Databricks for knowledge graph and identity challenges
• Apply core ML techniques and explore advanced methods like entity resolution, embedding-based matching, semantic similarity
• Support MLOps practices including experiment tracking, pipeline orchestration, and model monitoring
• Break down project requirements into scoped tasks with clear acceptance criteria
• Contribute to technical documentation covering problem statements, approaches, and metrics
• Collaborate cross-functionally with product, engineering, and operations translating business requirements into technical tasks
• Mentor junior data scientists

Requirements

• Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics or related quantitative field; Master's strongly preferred
• 1 to 2 years of hands-on data science experience with ability to own and deliver complex, multi-sprint projects independently
• Production-quality Python coding, testing, and documentation
• Strong SQL and PySpark skills for billion-row datasets
• Experience with Databricks workflows, Delta Lake, and job orchestration
• Working knowledge of cloud platforms (AWS or GCP)
• Solid command of core ML techniques: regression, classification, clustering, model evaluation, experimental design
• Proficiency with MLOps practices: experiment tracking, pipeline orchestration (Airflow), reproducible model deployment
• Exposure to modern AI methodologies: RAG systems, LLM-augmented models, vector databases, semantic search
• Strong communication skills for documentation and cross-functional collaboration

Tech stack