Senior/Lead Data Scientist - NYC

About the Role

Mission Aily Labs is a B2B SaaS company building an AI-powered decision intelligence app for enterprises. Our mobile-first platform combines company data with advanced machine learning, large language models, and agentic AI to give business leaders clear, actionable insights in real time. The Data Science Domains Department powers business-critical decision-making across four key areas of enterprise operations:

• Finance (FIN): We enable smarter, faster financial decision-making by improving 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.
• Manufacturing & Supply Chain (M&S): We optimize end-to-end manufacturing and supply chain with cutting-edge AI, using statistical, machine learning, GenAI, Knowledge Graph, and agentic techniques. Our solutions address challenges like low-signal demand forecasting, explainability for supply chain autonomy, and actionable recommendations from mixed data types.
• Research & Development (R&D): We partner with pharmaceutical and biotech companies to optimize clinical trial recruitment and accelerate pipeline innovation. Use cases include predicting patient enrollment, optimizing trial design, and building knowledge graphs across the pharma ecosystem.
• Cross-Functional (XF): This team applies AI to diverse functions like procurement, people analytics, and commercial operations, ensuring comprehensive value across the enterprise.

Responsibilities

• Senior/Lead Data Scientist – 4+ years:
  • Design and implement end-to-end data pipelines (ingestion → transformation → quality → delivery) for multiple use cases.
  • Build and maintain data infrastructure components (streaming pipelines, transformations, APIs, catalogs) using modern tools.
  • Implement robust data quality frameworks, monitoring, and alerting systems at scale.
  • Optimize data workflows for cost, performance, and reliability.
  • Mentor junior team members on data engineering best practices and tooling.
  • Enforce MLOps expertise, advanced Python/SQL skills, and domain specialization; uphold code quality standards.
  • 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.
  • Communicate and align with stakeholders; translate 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.

Requirements

• Thrives at the intersection of business, analytics, and AI, ensuring AI solves the right problems with measurable impact.
• Scientist and builder: explores multiple approaches, analyzes results, and iterates fast, balancing cutting-edge techniques with scalable solutions.
• Strong communicator who adapts messaging for different audiences and enjoys cross-functional collaboration.
• Startup mindset: comfortable with ambiguity, proactive, and hands-on when improvements are needed.
• Passionate about helping business leaders make decisive, data-driven decisions with real-time AI insights.

Location & Details

Locations: New York City

Contract type: Permanent

Work policy: Hybrid (2 days per week in the office)

Work Authorization: Applicants must already possess valid, unrestricted authorization to work in the United States. Visa sponsorship is not available.