Salary
$160k – $200k per year
Location
Remote (United States, Canada)
Seniority
Staff
Employment
Full-Time
First seen by Alion on Oct 7, 2026.
Overview
Company
Impact
Profile match
OneSix designs and builds modern data platforms, analytics, and AI systems that move from roadmap to production.
Note: The job is a remote job and is open to candidates in USA. OneSix is a data and AI services firm that partners with organizations to build durable data and AI systems. The Lead Data Scientist will drive end-to-end machine learning client engagements, lead project teams, design and deploy ML solutions, mentor data scientists, and serve as a technical and strategic client contact.
Responsibilities
- Own client engagements end-to-end: scope the problem, build the solution, manage expectations, and deliver
- Lead small project teams and serve as the technical and strategic point of contact for clients
- Design, build, and deploy ML solutions across a range of domains and use cases in a landscape where no two projects are the same
- Work across the full deployment spectrum including managed cloud ML platforms (SageMaker, Vertex AI, Azure ML) and containerized Python solutions running on raw infrastructure
- Mentor junior and senior data scientists and help shape how we practice ML at OneSix
- Evaluate emerging tools and techniques and bring the right ones to bear on client problems
Skills
- 6+ years of hands-on ML experience with a track record of shipping models to production
- You have a strong suit in at least one area: predictive/classical ML, computer vision, or LLM/agentic systems. You're comfortable being stretched into adjacent ones
- Comfortable across the full deployment stack: managed cloud services and building from scratch with Python, Docker, and EC2-style infrastructure. You write clean production code, not just notebook code
- Fluency in Python and SQL; comfortable with Git and frameworks like PyTorch, Scikit-learn, or Hugging Face depending on your domain
- Experience with experiment tracking and ML lifecycle management (MLflow, Weights & Biases, or similar)
- M.S. or Ph.D. in a quantitative field, or equivalent depth demonstrated through shipped work
- Strong communicator who can make a complex model legible to a non-technical executive and to a skeptical engineer
- Must be based in the US or Canada
- Background in consulting, professional services, or client-facing delivery strongly preferred, you know how to manage scope, communicate risk, and keep a client confident
Benefits
- Company-paid medical, vision, dental, and wellness benefits for employees
- Company-provided home office equipment
- Flexible vacation and sick days
- Team-oriented and supportive working environment
- Company-sponsored events and swag
- 401k Employer match
Company Overview
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