Lead Data Scientist

Role Description

OneSix is looking for a Lead Data Scientist to drive ML solutions for clients ranging from scrappy startups to Fortune 500s. This is a true player-coach role — you'll make serious technical contributions and lead a team, mentor junior scientists, and own the client relationship from scoping through delivery.

• 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.

Qualifications

• 6+ years of hands-on ML experience with a track record of shipping models to production.
• Background in consulting, professional services, or client-facing delivery strongly preferred.
• Strong suit in at least one area: predictive/classical ML, computer vision, or LLM/agentic systems.
• Comfortable across the full deployment stack: managed cloud services and building from scratch with Python, Docker, and EC2-style infrastructure.
• Fluency in Python and SQL; comfortable with Git and frameworks like PyTorch, Scikit-learn, or Hugging Face.
• 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.

Benefits

• Competitive compensation.
• 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.