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# Principal Data Scientist

- **Company:** AILA LAB INC.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Quality, Graph Database, HR Analytics, Machine Learning, Standard Sql, AI Platforms, Machine Learning Operations
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/principal-data-scientist-nyc-aily-labs-7992651

## About the Role

* Someone who thrives at the intersection of business, analytics, and AI and wants to ensure AI solves the right problems with measurable impact.
 * A scientist and builder: you explore multiple approaches, analyze results, and iterate fast, balancing cutting-edge techniques with simple, scalable solutions.
 * A strong communicator who adapts the message to different audiences and enjoys working cross-functionally with product, engineering, and business stakeholders.
 * Someone with a startup mindset: comfortable with ambiguity, proactive, and hands-on when something needs fixing or improving.
 * Ready to Lead Boldly - helping business leaders make decisive decisions powered by real-time AI insights, * Work Authorization: Applicants must already possess valid, unrestricted authorization to work in the United States. Please note that we are unable to sponsor employment visas at this time, either now or in the future, so candidates requiring sponsorship will not be considered for this role.

## Description

* Finance (FIN): We enable smarter, faster financial decision-making across the enterprise by partnering with Finance teams to improve forecasting accuracy, planning agility, and financial transparency through AI-driven solutions. We tackle volatile revenue and demand signals, large-scale multi-dimensional forecasting, and resource allocation under uncertainty, while ensuring models remain explainable and actionable. Our work moves Finance beyond reactive reporting toward proactive data-driven decision-making, powered by production-grade ML systems at enterprise scale.
 * Manufacturing & Supply Chain (M&S): We optimize the end-to-end manufacturing and supply chain with cutting-edge AI. Our team works closely with supply chain champions across Fortune 500 companies to drive impact: from helping pharmaceutical companies to avoid out-of-stocks to reducing machine breakdown in consumer good factories. Our solutions consist of a mix of statistical, machine learning, GenAI, Knowledge Graph, and agentic techniques to tackle challenges such as low signal demand forecasting, explainability for supply chain autonomy, and providing detailed actionable recommendations based on a mix of textual, image, and structured data.
 * Research & Development (R&D): We are passionate about clinical operations and portfolio management. Our team partners closely with pharmaceutical and biotech companies to deliver innovative AI-driven solutions that optimize clinical trial recruitment and accelerate pipeline innovation. Some of the exciting use cases we've worked on include predicting patient enrollment, optimizing trial design, building knowledge graphs across the pharma ecosystem, and more.
 * Cross-Functional (XF): this team addresses critical business areas that extend beyond the scope of our other specialized domains. We apply AI to diverse functions spanning procurement, people analytics, commercial operations, and more - developing solutions that transform these essential but often underserved areas. By focusing on these complementary business functions, we ensure our AI platform delivers comprehensive value across the entire enterprise, helping organizations unlock insights and efficiencies in every corner of their operations., * Have comprehensive MLOps expertise, advanced Python/SQL skills, and domain specialization; enforce code quality standards across the team
 * Own key features and projects; design and improve models, pipelines, and experimentation frameworks
 * Communicate and align with internal/external stakeholders; turn business requirements into AI solutions; make speed vs. quality trade-offs
 * Provide technical mentorship; set modeling standards and drive cross-functional delivery with PMs, engineers, and customers
 * Have deep expertise in one technical area; lead by example on technical excellence, business acumen, and strategic vision
 * Define and own AI domain roadmaps; transform ambiguous business challenges into structured action plans with clear milestones and dependencies
 * Lead 5+ simultaneous projects across multiple workstreams; shape product strategy with PM/Eng; manage risks and ensure timely, high-quality releases
 * Demonstrate strong business acumen: estimate AI solution impact on KPIs and business outcomes; identify domain-wide opportunities and influence strategy
 * Provide leadership for the Data Science team: mentor and manage; define standards; drive impactful cross-functional delivery; empower team members


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