Data Scientist

About OneSix 

OneSix is a data and AI services firm. We exist to make data and AI work for the businesses where it matters most. We take on the work companies can't afford to get wrong, embedding teams sized to the problem and working inside our clients' operations as partners, not extra hands. We build durable systems that outlast the engagement, and we leave every client more capable and more profitable than we found them.

We work with Healthcare and Life Sciences, Higher Education, Manufacturing, Private Equity, and marketing organizations. We're a Snowflake Elite services partner.

Five values guide our work: Always Truthful, Own the Outcome, Believe in the Work, Team Over Ego, and Learn Here, Lead Here. 

Senior Data Scientist 

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.

What You'll Do

• 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

What You Bring

• 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