Lead Data Scientist (Workday)

TL;DR

Lead Data Scientist (Workday): Leading the design and delivery of advanced AI/ML solutions to enhance Workday product offerings with an accent on predictive analytics, anomaly detection, and intelligent automation. Focus on building scalable, production-grade AI/ML systems, mentoring teams, and integrating AI innovations into enterprise SaaS environments.

What you will do

• Lead AI and analytics strategy for Workday product offerings.
• Design and deliver advanced AI/ML solutions including predictive analytics and anomaly detection.
• Collaborate with customers and internal teams to translate business needs into technical solutions.
• Mentor and lead data science teams fostering collaboration and growth.
• Implement scalable AI/ML pipelines and integrate with enterprise systems.
• Drive innovation in intelligent automation and generative AI use cases.

Requirements

• English: B2 level or higher required
• Significant experience in advanced statistical techniques, machine learning, and AI.
• Strong Python programming skills for scalable AI/ML solutions.
• Experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn.
• Expertise in MLOps, containerization (Docker, Kubernetes), and cloud platforms (AWS, Azure, GCP).
• Proven leadership and mentoring experience in data science teams.

Nice to have

• Advanced degree (MSc or PhD) in relevant fields.
• Experience delivering AI solutions in enterprise SaaS, especially Workday.
• Knowledge of relational and NoSQL databases.
• Familiarity with Workday APIs and analytics tools.
• Experience with generative AI and deep learning techniques.
• Participation in knowledge sharing and thought leadership activities.

Culture & Benefits

• People-first culture valuing diversity, equity, and inclusion.
• Supportive environment encouraging creativity and collaboration.
• Commitment to equal opportunity and tailored recruitment process.
• Encouragement for personal and professional growth.
• Open and respectful team culture.