Manager, Data Science and Analytics
Toronto, Canada
Vention
Vention is a global leading provider of industrial automation and manufacturing robotics. Schedule a free call today.Company Description
Vention helps some of the most innovative manufacturing companies automate their production floor in just a few days. Vention's onlinhttps://vention.io/3d-designe-first manufacturing automation platform (MAP) enables its clients to design, automate, order, and deploy manufacturing equipment directly from their web browser. Vention is headquartered in Montreal, Canada, with offices in Berlin and Boston, and is used in over 3,000 factories on 5 continents.
As one of Canada’s Most Admired Cultures we are a performance driven culture that cares deeply about our employees well being. We set ambitious goals, rely on data, and thrive on healthy debate. But we also know sustainable performance comes from a caring and uplifting environment. Both sides of our culture fuel each other—and we protect them equally. Our values & principles include:
- We make our clients successful - we do what’s right for our customers, even when it makes our roles more challenging.
- We execute and deliver - we set ambitious goals for ourselves and are energized about meeting them.
- We debate, then commit - we challenge our own perspectives and ideas in pursuit of the best solutions.
- We innovate to inspire - we value innovation in products, user experiences, and business practices.
- We collaborate to achieve more - we work as one team to achieve more than we would on our own.
- We empower our people to reach their full potential - we hold ourselves to high standards but know when to celebrate progress & achievements
Job Description
As the Manager of Data Science and Analytics, you will lead and build a small but growing team responsible for transforming Vention’s rich data into insights that directly impact strategic decisions across the company. You’ll get your hands dirty applying data science techniques to solve high-impact problems in operations, growth, product, and customer experience—all while helping establish the data vision and infrastructure that scales with our business.
This is a unique opportunity for a strong leader and active contributor who thrives in a high-autonomy, high-impact role and is excited about growing the data function from the ground up. Today, you’ll manage one data analyst and work hands-on with engineering and business teams. Tomorrow, you’ll be scoping and leading an expanded team to meet the growing needs of the business.
This role is mission-critical to how we scale and compete. With access to a gold mine of high-value data, you’ll be instrumental in shaping strategy across the company. If you’re passionate about using data to solve real-world problems at the intersection of AI and advanced manufacturing, this is your opportunity.
What You’ll Do:
Leadership and Stakeholder Collaboration
- Manage, mentor, and grow a high-performing data team, while contributing directly to analytics and data science initiatives. Promote best practices in data management and modeling.
- Partner with business leaders to understand critical data needs, define priorities, and ensure alignment between analytics initiatives and strategic goals.
- Own the analytics roadmap and sprint planning processes. Balance quick wins with long-term capability building in line with evolving business needs.
Analytics & Insight Generation
- Drive complex data modelling and advanced analytics initiatives (including statistical modelling, forecasting, and clustering) to identify trends, optimize performance and drive growth.
- Lead the development of data visualization strategies, dashboards, and KPIs that deliver actionable insights and drive strategic business decisions.
- Translate complex analytics into actionable recommendations for executive leadership and key stakeholders.
Data Infrastructure & Governance
- Own the development, reliability, and scalability of the company’s data infrastructure, including the data warehouse, ETL/ELT pipelines, and source system integrations.
- Ensure data accuracy and consistency while adhering to compliance and governance standards.
- Maintain documentation for data architecture, processes, and analytics methodologies.
Qualifications
- 5–7 years of hands-on experience in data science or analytics, with a proven ability to lead projects, manage teams and influence business decisions.
- Bachelor’s degree in Engineering, Computer Science, Data Science, Business ANalytics Mathematics, Statistics, or a related field
- Strong technical foundation with proficiency in Python, SQL and BI tools (i.e. Power BI/Looker).
- Proven experience with data warehousing concepts, ETL processes, and data modelling techniques (i.e. Snowflake, Airbyte, AWS)
- Deep knowledge of statistical techniques, regression modeling, and machine learning methods (e.g., clustering, decision trees, neural networks).
- Excellent communication and collaboration skills, with a passion for translating data into actionable insights for non-technical stakeholders. Bilingual (English/French) is a strong asset.
- Curious, entrepreneurial, and hands-on — driven to build data capabilities from the ground up.
Additional Information
How We Take Care of You
- Flexible paid time off.
- Global comprehensive health plans so you feel your best.
- Complimentary beverages and snacks so that you are fuelled and ready for your day.
- Career growth opportunities. Your future matters.
- Fun-filled social events curated based on diverse interests for our team to celebrate together. From sponsored sports teams to trivia nights.
- Time off to volunteer and give back to your community.
What to Expect in Your Interview
- Initial Call
- Team interview
- Challenge
- Final Interview
- Decision & Offer
Commitment to Equal Employment Opportunity
Our culture is built for high achievers who thrive in fast-paced, high-impact environments. At Vention, you'll have the chance to shape products, processes, and strategies that leave a lasting impression.
When you join Vention, you join a team of professionals with a diverse variety of experiences, backgrounds, and perspectives. We’re committed to fostering a supportive, inclusive workplace where collaboration fuels extraordinary outcomes - and where strong, lasting relationships are built through shared drive and passion. We’re passionate about helping you do your best work. Claim your seat and find out what you can do!
If you require any accommodations during the interview process, let us know - we are happy to support you.
Not sure if your experience checks every box? That’s okay - apply anyway. We’d love to get to know you and share more about the role.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Business Analytics Clustering Computer Science CX Data management Data visualization Data warehouse Data Warehousing ELT Engineering ETL KPIs Looker Machine Learning Mathematics Pipelines Power BI Python Snowflake SQL Statistics
Perks/benefits: Career development Flex vacation Snacks / Drinks Startup environment Team events
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