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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.

Original posting on Onesixsolutions27's site ↗

Listed on hirly, a job board. hirly is not the employer: Onesixsolutions27 is hiring for this role.

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