Data Scientist involved in GCP - driven data and AI initiatives at Valtech. Contributing to production readiness and building impactful data solutions.
About the role
- Senior Data Scientist leading ML strategies at Homebase. Collaborating with teams to enhance data-driven solutions and machine learning platform.
Responsibilities
- 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.
Requirements
- 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
Benefits
- Stock options + TFSA/RRSP with 4% company match
- Comprehensive medical, dental, and vision for you and your dependents
- Flex time off + company holidays + designated focus periods
- Maternity/Parental Leave EI top-up support offered (after 6 months of service)
- Work From Anywhere Month + meeting-free weeks yearly
- Life insurance + short/long-term disability coverage
- Meals provided, team offsites, and Customer Days
- **Tuesdays and Wednesdays are our required in-office days**
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