Lead Data Scientist – BI, Data Strategy

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Dayforce

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

👥 HR Tech

☁️ SaaS

🏢 Enterprise

💰 $1G Post-IPO Debt - Dayforce on 2024-03

HR Tech • SaaS • Enterprise

Dayforce is a cloud-based human capital management (HCM) platform developed by Ceridian. It delivers payroll, HR, workforce management (time and attendance, scheduling), benefits administration, and talent management as a single SaaS application designed for businesses and enterprise customers.

📋 Description

• Responsible for serving as the senior technical leader for data science and machine learning initiatives • Providing architectural guidance, technical direction, and mentorship across the organization • Leading complex AI and analytics programs • Establishing technical standards and best practices • Partnering closely with leadership to drive innovation and business value • Utilizing deep technical expertise and strong leadership capabilities to build scalable enterprise-grade AI solutions • Helps define and advance the organization's AI, machine learning, and data science strategy • Identifies and champions innovative AI solutions that deliver measurable business value • Provides technical leadership and mentorship to the Data Science team across multiple initiatives • Establishes and promotes standards, methodologies, and best practices for the Data Science team • Supports talent development and technical growth within the organization • Leads architecture and technical design efforts for enterprise AI, machine learning, and analytics solutions • Defines solution patterns, frameworks, and technical standards for scalable AI development • Acts as the primary technical lead on complex and high-impact initiatives • Leads the design and implementation of agentic AI systems, intelligent assistants, and workflow automation solutions • Establishes best practices for orchestration, tool integration, and autonomous AI workflows • Leads the development of advanced machine learning models, predictive analytics solutions, and AI applications • Oversees technical quality, model performance, and delivery across major initiatives • Drives the transition of AI solutions from experimentation to production deployment • Partners with engineering teams to establish standards for MLOps, monitoring, scalability, and operational excellence • Leads strategic analytics and automation initiatives that improve organizational effectiveness and decision-making • Develops frameworks and reusable capabilities that accelerate delivery of AI and analytics solutions • Ensures adherence to AI governance, security, compliance, and responsible AI standards • Provides technical oversight for model validation, risk management, and solution review processes • Partners with business and technology leaders to shape AI initiatives and solution priorities • Communicates technical strategy, architectural decisions, and business impacts to executive and operational stakeholders

🎯 Requirements

• Bachelor's Degree in IT Management, Computer Science, Data Science, Engineering, or a related field; or an equivalent combination of education and experience • Master's Degree in IT Management, Computer Science, Data Science, Engineering, or a related field. • Seven (7) or more years of experience in Data Science, Machine Learning, Artificial Intelligence, Analytics, or related disciplines • Strong knowledge of machine learning, statistical modeling, predictive analytics, and AI solution architecture • Advanced proficiency in Python, SQL, and modern AI/ML frameworks • Strong problem solving and communication skills • Proven ability in leading enterprise-scale AI and machine learning initiatives • Ability to design and deploy production-grade AI solutions • Ability to mentor technical teams and lead cross-functional initiatives