Senior Data Scientist

Role Description

OneSix is looking for a Senior Data Scientist to build and deploy cutting-edge ML solutions for a diverse client base. You'll work alongside engineers and scientists to tackle complex problems, push the state of the art, and help shape how we do ML at OneSix. While this isn't a people management role, you'll serve as a technical anchor on your team — mentoring others and influencing project direction.

• Research, design, and build ML models across a range of use cases — we work with clients across industries and problem types.
• Work across the full deployment spectrum: managed cloud ML platforms (SageMaker, Vertex AI, Azure ML) and containerized solutions built from scratch in Python on raw infrastructure.
• Collaborate with engineers to integrate models into production environments and uphold MLOps best practices.
• Preprocess and analyze large datasets; think critically about data quality and what it means for model reliability.
• Contribute to technical discussions across the team, fostering a culture of shared learning and continuous improvement.
• Translate complex ML concepts clearly for both technical collaborators and non-technical client stakeholders.

Qualifications

• 4+ 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 — and you’re genuinely curious about adjacent domains.
• Strong Python and SQL skills, production-code instincts, and Git fluency; R or C++ a plus.
• Comfortable across the full deployment stack: managed cloud services and containerized solutions built from scratch (Docker, EC2-style environments).
• Deep understanding of ML algorithms, statistical modeling, and optimization.
• M.S. in a quantitative field, or equivalent depth demonstrated through shipped work.
• Clear communicator who can explain their methodology and defend their choices.
• 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.