Senior Data Scientist
Quandri
PythonSQL
Job Level
Lead
Tech Stack
PythonSparkSQL
About the role
- Partner with senior leadership to define and deliver a multi-year technical strategy for Data Science and Applied AI
- Lead end-to-end machine learning projects — from ideation and experimentation to production deployment and monitoring
- Design and operationalize ML pipelines for batch, streaming, and real-time inference at scale
- Bring AI breakthroughs into production (LLMs, retrieval-augmented generation, AI agents) and reshape workflows for customers and internal teams
- Provide technical mentorship to data scientists, raising the bar for excellence and execution
- Translate complex technical concepts into actionable insights for technical and non-technical stakeholders
- Collaborate across Engineering, Product, Infrastructure, Security, and Design to solve high-stakes customer and business problems
Requirements
- 7+ years of software development, with 7+ years specializing in data science and ML
- Proven record of shipping ML models into production with measurable business impact
- Deep experience with LLMs (fine-tuning, building RAGs, developing intelligent agents)
- Proficiency in Python, SQL, Spark, Databricks, and Git (or equivalent stack)
- Expertise in CI/CD pipelines, monitoring, and MLOps best practices
- Strategic thinker with strong problem-solving skills, attention to detail, and a velocity mindset
- Inclusive, collaborative communicator who can influence across levels and functions
- AI Fluency: demonstrates the ability to retool workflows, measure impact, and coach teams on AI adoption
