Applied Data Scientist

SWARM Staff Applied Data Scientist Remote
· Full time

SWARM is looking for a highly motivated and strategic Staff Applied Data Scientist to serve as a technical leader and key bridge between complex business challenges and cutting‑edge data science solutions. In this role, you will not only design and deploy advanced algorithmic solutions, but you will also mentor and guide our data science team, collaborate directly with customers on implementations, and drive technical direction.

We are specifically looking for a candidate with proven real‑world experience solving operational planning problems who can translate customer pain points into robust, scalable, and maintainable software systems.

SWARM Engineering (“SWARM”) is an AI-powered optimization platform that automates complex operational decisions across supply chain, workforce, production, and logistics. SWARM's AI-powered decision intelligence models customers' entire operations and surfaces the right decisions, before volatility steals or erodes margins. SWARM is a fully remote company with employees spread across the United States, and contractors worldwide.

Technical & Strategic Leadership

• Architect End-to-End Solutions: Define the technical vision, architectural standards, and best practices for data science projects, ensuring models are robust, scalable, and maintainable in production environments
• Drive Business & Operational Impact: Identify high-value opportunities to apply optimization, machine learning, and statistical modeling specifically to solve real-world operational planning challenges
• Data Science Infrastructure & Innovation: Lead the development of internal data science infrastructure, tools, and workflows, while exploring side projects and emerging technologies to keep our technical stack cutting‑edge

• Manage & Guide the DS Team: Provide technical leadership, coaching, and career mentorship to the data science team, fostering a culture of high performance, collaboration, and continuous learning
• Resource & Project Planning: Work with leadership to scope, prioritize, and allocate team resources effectively across customer implementations and core product development
• Code & Architecture Reviews: Oversee technical quality by conducting rigorous code reviews, establishing testing standards, and enforcing software engineering best practices across the team

• Direct Customer Engagement: Actively participate in customer implementations to uncover root business problems, deeply empathizing with user workflows and operational constraints
• Translate Requirements to
  
  Roadmap:
  
  Bridge the gap between non-technical stakeholders, business domain experts, and engineers by translating complex customer requirements into actionable data science deliverables
• Validation & Value Realization: Collaborate directly with clients during deployment phases to test hypotheses, validate solution, and demonstrate quantifiable business ROI

Required

• Degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Operations Research) or equivalent practical experience
• Strong Software Engineering Foundation:
  Advanced programming skills in Python with ability to write modular, object-oriented code, and experience with relevant libraries (e.g., scikit-learn, Tensor Flow, PyTorch, Pandas, Num Py)
• Proven Track Record:
  Extensive experience applying data science and mathematical optimization to real-world operational planning, supply chain, or scheduling problems
• Leadership
  
  Experience:
  
  Prior experience managing, leading, or mentoring data scientists and driving cross-functional alignment across product, engineering, and business stakeholders
• Custom…