Dayforce · 5 hours ago
IT Data Scientist Sr
United States
Full-time
Remote
Senior Level
6+ years expDayforce is a global human capital management company headquartered in Toronto and Minneapolis. They are seeking a Senior Data Scientist to lead data science initiatives, apply machine learning and advanced analytics to business problems, and drive insights and automation from concept through production.
Computer Software
Responsibilities
Lead end-to-end data science initiatives from problem definition and requirements gathering through model development, deployment, and insight delivery
Design and build machine learning solutions that are practical, scalable, and aligned to business objectives
Develop and implement agentic AI workflows that combine ML models, large language models (LLMs), data retrieval, and tool-based execution
Partner closely with business stakeholders to translate ambiguous questions into analytical and AI-driven solutions
Model training, containerization, deployment, and performance monitoring
Evaluate tradeoffs between model accuracy, interpretability, cost, and operational complexity
Automation, observability, and lifecycle management of ML pipelines (MLDC / MLOps)
Familiarity with cloud data and compute platforms (e.g., Databricks, Snowflake, AWS, Azure)
Communicate insights, recommendations, and limitations clearly to technical and non-technical audiences
Promote strong data quality, validation, and governance practices
Mentor and collaborate with other data scientists and analytics professionals
Qualification
Required
Bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, Statistics, or equivalent experience (Master's degree preferred)
At least six years of experience working with data and four or more years of hands-on data science or machine learning experience
Solid foundation in machine learning techniques, including regression, classification, clustering, and time series forecasting
Experience in feature engineering, model evaluation, bias detection, and interpretability
Practical experience integrating LLMs with structured data and machine learning models
Familiarity with AI orchestration frameworks, vector databases, and RAG patterns
Experience with ETL processes, data modeling, and working across multiple data sources
Proficiency with Power BI or similar data visualization tools
Exposure to data governance, security, and model monitoring best practices
Benefits
Excellent time away from work programs
Comprehensive wellness initiatives
Recognition through competitive pay and benefits
Volunteer days
Dayforce Cares
Company
Dayforce
Dayforce makes work life better.
5001-10000 employees
H1B Sponsorship
Dayforce has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (3)
Funding
Current Stage
Late StageLeadership Team
Jeremy Johnson
Chief Financial Officer
Aimee Melgar (she/her)
VP, Global Partner Strategy and Programs
Company data provided by crunchbase