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Senior/Lead Data Scientist
Aily Labs · New York, United States
About The Role
Join our team as a Senior/Lead Data Scientist, where you'll leverage your passion for AI and deep understanding of business context to drive measurable impact. You'll work across four key areas of enterprise operations: Finance, Manufacturing & Supply Chain, Research & Development, and Cross-Functional. Your role will involve designing and implementing end-to-end data pipelines, building and maintaining data infrastructure components, and optimizing data workflows. You'll also provide technical mentorship to junior team members and lead major AI projects with full accountability.
- Lead and manage major AI projects, ensuring alignment with business goals and driving measurable impact.
- Design and implement end-to-end data pipelines and maintain data infrastructure components using modern data tools.
- Provide technical mentorship to junior team members, set modeling standards, and drive cross-functional delivery.
- Ready to Lead Boldly – helping business leaders make decisive decisions powered by real-time AI insights
- A scientist and builder: you explore multiple approaches, analyze results, and iterate fast, balancing cutting‑edge techniques with simple, scalable solutions
- Communicate and align with internal/external stakeholders; turn business requirements into AI solutions; make speed vs. quality trade-offs
- Own key features and projects; design and improve models, pipelines, and experimentation frameworks
- Lead 1+ major projects as AI lead with full accountability; break down work, assign tasks, and manage multiple workstreams with stakeholder alignment
- Implement robust data quality frameworks, monitoring, and alerting systems at scale
- Provide technical mentorship; set modeling standards and drive cross-functional delivery with PMs, engineers, and customers
- A strong communicator who adapts the message to different audiences and enjoys working cross‑functionally with product, engineering, and business stakeholders
- Mentor junior team members on data engineering best practices and tooling
- Senior/Lead Data Scientist – 4+ years
- Design and implement end-to-end data pipelines (ingestion → transformation → quality → delivery) for multiple use cases with growing autonomy
- Build and maintain data infrastructure components (streaming pipelines, transformations, APIs, catalogs) using modern data tools
- Someone with a startup mindset: comfortable with ambiguity, proactive, and hands‑on when something needs fixing or improving
- Optimize data workflows for cost, performance,e and reliability across multiple datasets
- Have comprehensive MLOps expertise, advanced Python/SQL skills, and domain specialization; enforce code quality standards across the team
- Someone who thrives at the intersection of business, analytics, and AI and wants to ensure AI solves the right problems with measurable impact
- Who we’re looking for
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