Job Opportunities API

The Public Ledger of Openings

← Back to the ledger

Lead Data Scientist

OneSix - External
CompanyOneSix - External
CategoryData & Analytics
LocationRemote/US & Canada
RemoteRemote
EmploymentNot stated
LevelLead
SalaryNot stated by the employer
Posted16 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
About OneSix  OneSix is a leading data and artificial intelligence (AI) consultancy that helps businesses build the strategy, technology, and teams they need to scale growth and efficiency. Its team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers seamlessly integrate with client teams to solve their most challenging business problems. Leveraging strategic partnerships with Snowflake, AWS, Matillion, Fivetran, Pyramid Analytics, and more, the company uses modern technology, scalable architectures, and industry best practices. With the recent acquisition of Strong Analytics, an ML and AI consultancy, OneSix is a uniquely powerful business partner to the enterprise, with a talent mix that is nearly impossible to find under one roof.  OneSix is a fast-growing firm with significant career opportunities for motivated professionals who want to help create a unique company. We are committed to fostering an inclusive employee experience that reflects the world we live in today. We’re an equal-opportunity employer that welcomes people regardless of backgrounds, experiences, abilities, and perspectives. Lead Data Scientist  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. What You'll Do 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 What You Bring 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, you know how to manage scope, communicate risk, and keep a client confident 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 Compensation / 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 This position offers a base salary in the range of $160,000–$200,000 USD annually, depending on experience and location. Compensation may vary based on factors including geographic location, level of experience, skills, and performance. This salary range reflects base pay only a
HOUSE ADYou found the opening. Now track it.Tracker, radar and AI drafts in one place.erioun.com →
Lead Data Scientist — OneSix - External · Job Opportunities API