Lead Data Scientist - remote
A company that operates a privacy-preserving data collaboration platform that lets different companies share consumer insights without ever exposing or trading actual customer data is seeking a Lead Data Scientist who will be second-in-command to the Head of Data Science, combining senior technical leadership with hands-on delivery.
Responsibilities:
Technical Leadership: Act as deputy to the Head of Data Science; mentor team members, support delivery management, and potentially lead an Agile delivery squad.
Roadmap & Strategy: Own and prioritize the analytical roadmap, establishing reusable assets and a coherent customer analytics journey.
End-to-End Analytics: Translate ambiguous business needs into decision-ready insights; present findings to senior stakeholders and defend evidence-based conclusions.
Production Engineering: Write maintainable, testable, production-grade Python using modern engineering best practices.
Data Lakehouse Architecture: Apply best practices around data grain, provenance, reconciliation, and traceability across Delta Lake and Synapse environments.
AI-Augmented Workflows: Leverage Claude Code and agentic AI workflows across prototyping, coding, testing, and documentation.
Multi-Party Analytics: Derive accurate insights from matched, aggregated, or imperfect datasets using weighted binning, dependency measures, and strict validation controls.
Minimum Requirements:
Experience: 7+ years in Data Science/Analytics/Data Warehousing (with substantial recent DS experience) + 2+ years in technical/engineering leadership.
Education: Bachelor’s degree in a STEM discipline (or equivalent experience).
Machine Learning & AI: Senior-level expertise designing, deploying, monitoring, and retraining production ML/AI models.
Core Python Stack: Advanced Python, Jupyter, pandas, NumPy, scikit-learn.
Data Engineering & Lakehouse: Delta Lake (or similar), PySpark, feature stores, data versioning, Azure Synapse, T-SQL/ANSI SQL.
Analytics & BI: Power BI and Python visualization tools.
Communication: Excellent written and verbal English with strong stakeholder management skills.
Desirable Experience
PySpark & distributed data processing
FastAPI & Kubernetes-based model serving
Automated testing with PyTest
Apache Ranger or data governance frameworks
C#.NET, Angular, or Electron development
Benefits:
Competitive salary based on experience (salary can potentially be more based on experience/skills)
IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to [email protected]