Lead applied AI and machine learning at Homebase as a Data Science Manager in a hybrid, AI-first environment. Guide models from proof-of-concept to production.
This manager leads a growing team of data scientists shaping product, platform, and people decisions. The work spans intelligent scheduling, hiring models, and internal sales and marketing targeting. You will partner with Engineering, Product, Design, and platform engineering.
Key Responsibilities:
- Lead, mentor, and grow high-performing data scientists
- Deliver models powering scheduling, hiring, payroll, pricing, and personalization
- Design A/B and multivariate experiments
- Embed data and AI into user experiences
- Advise cross-functional and executive stakeholders
Requirements:
- 6+ years in data science, applied machine learning, or AI development
- 2+ years leading and mentoring data scientists
- Strong machine learning background
- Production ML model delivery experience
- Proficiency in SQL and Python
Bring people leadership, experimentation, SQL, Python, and production machine learning expertise to Homebase's applied AI work.
Data Science Manager Applied AI in Toronto employer: Homebase
Homebase is an exceptional employer that fosters a collaborative and innovative work culture, where Principal Engineers can thrive in shaping the future of payroll, scheduling, and HRM solutions. With a strong emphasis on employee growth, you will have access to mentorship opportunities and the chance to work with cutting-edge AI technologies in a supportive environment. Located in a vibrant area, Homebase offers unique advantages such as flexible work arrangements and a commitment to work-life balance, making it a rewarding place to advance your career.
