Job Description & How to Apply Below
Hi, Future Homie!
At Homebase, you’ll join a team that’s bold, fast-moving, and obsessed with helping small businesses thrive. We build with empathy, act with urgency, and take big swings that drive real-world impact. Here, every Homie shows up to raise the bar, support one another, and celebrate wins as a team.
We’re not just building an app—we’re building unstoppable teams. So what do you say, are you in?
Your Impact Starts Here
Senior Data Scientist is a key leadership role in the data organization. Reporting to the Director of Data & AI, this person will support the technical roadmap and strategy for data science and the machine learning platform.
These are the key ways you’ll contribute and create impact in this role:
Partnering closely with senior leadership to devise a comprehensive multi-year technical strategy for our (ML) platform.
Guiding the design and implementation of essential platform components geared toward the training, deployment, and monitoring of ML models in production environments.
Establishing and enforcing best practices for maintaining data quality, governance, and security standards across the data and machine learning platform.
Offering technical mentorship and guidance to the engineers within the team and across engineering, fostering a culture of continuous learning and growth.
Providing expert guidance on industry-leading practices, tools, and technologies relevant to ML engineering
Developing and implementing effective communication strategies to convey technical concepts to both technical and non-technical audiences, facilitating cross-functional understanding and collaboration.
Cultivating partnerships across Engineering, Product Management, Infrastructure, Security, Analytics, and Design teams to address technical and non-technical problems collaboratively.
The Foundation for Success - These are the experiences and strengths that will set you up for success in this role:
Over 7 years of software development experience, specializing in data science and ML for 7+ years
Proficient in building and deploying machine learning models (including language models)
Experience in architecting, designing, and implementing scalable ML platforms and infrastructure, optimizing workflows for machine learning lifecycle management.
Proficient in building model serving pipelines for batch, streaming, and real-time inference
Driving the operationalization of ML models, ensuring seamless deployment, monitoring, and continuous integration/continuous delivery (CI/CD) pipelines for ML systems.
Strong problem-solving skills with a strategic mindset and attention to detail
Effective communicator and collaborator across technical and non-technical stakeholders
Proficient in Python, SQL, Spark, Databricks, Git, or a similar technical stack
The Homie Way - These principles guide everything we do—from how we work and make decisions to how we show up for each other.
Be Customer Obsessed – Solve problems with empathy and creativity.
⚡ Move Fast, Learn Fast – Experiment, take action, and grow every day.
Own Your Impact – Think big, focus on what matters, and make decisions you stand behind.
Master Your Craft – Excellence fuels impact—show up, step up, and make your mark.
Win Together – Put goals over roles, lead with trust, and connect to our mission and each other.
What We Offer
Ownership & Savings:
Stock options + TFSA/RRSP with 4% company match
Health & Wellness:
Comprehensive medical, dental, and vision for you and your dependents
⏰ Time Flexibility:
Flex time off + company holidays + designated focus periods
Family Support:
Maternity/Parental Leave EI top-up support offered (after 6 months of service)
Work Your Way:
Work From Anywhere Month + meeting-free weeks yearly
️ Protection Plans:
Life insurance + short/long-term disability coverage
️ Workspace Perks:
Meals provided, team offsites, and Customer Days
Our Hybrid Rhythm:
We believe collaboration drives impact. That’s why Tuesdays and Wednesdays are our required in‑office days —a time to move faster as a team, build deeper connections, make better decisions, and build together.
What to Expect During the Interview Process
Meet the Talent Acquisition team,…
Position Requirements
10+ Years
work experience
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