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.
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
- 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
- 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 and does not include any additional compensation such as bonuses, equity, or benefits.
OneSix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, familial status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Skills Required
- 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 (manage scope, communicate risk).
- Strong expertise in at least one area: predictive/classical ML, computer vision, or LLM/agentic systems.
- Experience across full deployment stack: managed cloud ML platforms (SageMaker, Vertex AI, Azure ML) and containerized Python solutions on EC2-style infrastructure; write production code.
- 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 able to explain complex models to non-technical executives and skeptical engineers.
- Must be based in the US or Canada.
- Experience leading and mentoring junior and senior data scientists and owning client engagements end-to-end.
What We Do
OneSix is a leading data and artificial intelligence consultancy that helps businesses build the strategy, technology, and teams they need to innovate and grow. We excel at solving complex problems through integrated teams of strategists, data engineers, data scientists, and AI and machine learning experts.
Why Work With Us
Our goal is to deliver measurable business outcomes, not just build technology infrastructure. Our teams bring expertise in strategy, data engineering, business intelligence, AI, and machine learning, using technologies like Snowflake, AWS, Matillion, and Fivetran. We create value quickly and have delivery teams across North America.
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