Onesixsolutions27
Senior Data Scientist
Remote/US & Canada
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hirly's read of this role
- Role family
- Data & ML
- Seniority
- Senior
- Stated salary
- $140,000 – $180,000 per year
- Country
- CA
- Work mode
- Remote-friendly
- First seen by hirly
- 1 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
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
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
Compensation / Benefits
Competitive compensation
Company-paid medical, vision, dental, and wellness benefits for employees
401k Employer match
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 $140,000–$180,000 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.
Listed on hirly, a job board. hirly is not the employer: Onesixsolutions27 is hiring for this role.
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