Senior Data Scientist

Responsibilities

• 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

Requirements

• 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

Qualifications

• Must be based in the US or Canada

Skills

• Python
• SQL
• Git
• Machine Learning Algorithms
• Statistical Modeling
• Optimization

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

Pay

Compensation in the range of $140,000–$180,000 USD annually, depending on experience and location.

Schedule

Not specified