Company Description cBloom, accessible via huesealife.web.app, is an early-stage venture focused on building data-driven solutions at the intersection of technology, sustainability, and everyday life. The company is exploring innovative ways to use data science and modern web technologies to create products that improve decision-making and user experiences. As a growing organization, cBloom offers opportunities for meaningful impact on product direction, technical architecture, and business strategy. Team members are encouraged to experiment, iterate quickly, and collaborate across disciplines to shape the company’s future.
Role Description As a Co-Founder and Data Scientist at cBloom, you will play a dual role in leading both the technical and strategic direction of the company. On a day-to-day basis, you will design and implement data pipelines, build predictive and analytical models, and translate complex data into actionable insights for product and business decisions. You will collaborate closely with other founders to define the product roadmap, test hypotheses with real users, and refine the business model based on data-driven experimentation. This is a full-time hybrid role based in Toronto, ON, with a mix of on-site collaboration and some work-from-home flexibility. You will also help build the core team, establish best practices in engineering and analytics, and represent the company in discussions with partners, investors, and early customers.
Qualifications
- Strong foundation in data science and analytics, including experience with statistical modeling, machine learning, and data visualization.
- Proficiency with programming languages commonly used in data science (such as Python or R) and familiarity with data manipulation tools, libraries, and frameworks.
- Experience designing and maintaining data pipelines, working with databases, and handling structured and unstructured data.
- Background in product-oriented data work, including experimentation, A/B testing, and translating insights into product or business recommendations.
- Comfort working in an early-stage or startup environment, with the ability to take initiative, navigate ambiguity, and make decisions with limited information.
- Strong communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders and work effectively in a small, cross-functional team.
- Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Data Science, Statistics, Mathematics, Engineering) or equivalent practical experience.
- Experience or interest in sustainability, behavioral science, or consumer-facing digital products is an asset.
- Eligibility to work in Canada and willingness to be regularly present on-site in Toronto, ON for collaborative work.