17 Aug
|
Unchain Data
|
Manitoba
17 Aug
Unchain Data
Manitoba
About Us Since 2015, our mission has been to help Canadians build long-term wealth through Bitcoin. Over the years, we have expanded our operations beyond buying and selling bitcoins to offer a growing range of everyday financial products, including the Shakepay card, direct deposit, bill payments, and Interac transfers, making it easier to get, save, and use Bitcoin daily. Today, more than 1.5 million Canadians use Shakepay to grow their Bitcoin savings and take control of their financial future, as we continue to push the boundaries of what modern financial services can look like.
We are regulated as a securities broker in all Canadian provinces and territories, and benefit from the support of renowned venture capitalists, with $44M in funding. We have a passionate, loyal, and growing community, and we are looking for people who want to help us build something truly special.
The Role We are seeking an experienced data scientist to join one of our cross-functional teams at Shakepay. You will work closely with engineering and design, while building partnerships with marketing, finance, and operations teams to help us identify growth opportunities and make more informed decisions across the company.
This role is ideal for someone who thrives in rapidly evolving environments, who loves operating with great autonomy, and who can transform ambiguous problems into measurable impact. You will combine experimentation, statistical rigor, business intuition, and product thinking to influence how we grow, retain, and better serve millions of Canadians.
Responsibilities Work closely with engineers and designers on our product teams to improve acquisition, activation, retention, monetization, and customer experience
Collaborate with marketing, finance, and operations teams to discover growth opportunities and make better business decisions
Support and champion experimentation and decision-making frameworks that help us launch products and iterate quickly with confidence
Define KPIs (key performance indicators) and success metrics that help teams stay aligned on measurable outcomes
Use statistical analysis, forecasting, causal inference, and machine learning techniques to better understand user behavior and company performance
Proactively identify high-impact opportunities through deep analysis of user journeys, lifecycle behavior, conversion funnels,
and financial performance
Contribute to shaping team and company priorities by bringing data-driven perspectives on impact, trade-offs, and return on investment
Create dashboards, models, and self-service tools that improve visibility of growth and business performance across the organization
Collaborate with the broader data team to maintain a shared and consistent data layer that serves our stakeholders and internal teams
Foster a culture of experimentation, curiosity, and evidence-based decision-making across Shakepay
Requirements 8+ years of experience in data science, growth analytics, experimentation, or related roles in high-growth environments
Strong proficiency in SQL and Python
Deep understanding of experimentation, causal inference, statistical analysis, forecasting, and KPI design
Strong product and business intuition, with ability to connect user behavior to business outcomes
Experience working cross-functionally with teams such as marketing, finance, operations, or product
Comfortable operating autonomously and driving ambiguous projects from idea to execution
Strong communication skills and ability to influence decisions through data and clear reasoning
Demonstrated ability to manage and deliver multiple projects with strong attention to detail
Curiosity, speed, and bias toward action in rapidly evolving environments
Solid understanding of dashboard and data visualization tools
Willingness to learn and develop in a rapid-paced environment
Nice to Have Experience in startup or high-growth consumer environments
Experience with experimentation and product analytics platforms such as Posthog, Statsig, Amplitude
Experience working with dbt, Snowflake, and modern data stacks
Experience with lifecycle marketing, customer segmentation, or growth modeling
Existing Shakepay customer and/or familiarity with the product
Interest and enthusiasm for the possibilities offered by Bitcoin and non-sovereign currency
Why Join Us Shape the future of finance: Join a team that is revolutionizing financial services in Canada, one sat at a time.
Have an impact at scale: As cryptocurrencies continue to democratize, our potential for growth is immense. Help us bring Shakepay and Bitcoin within reach of all Canadians.
Grow your career: We are growing, and so are you! We have put in place programs to encourage continuous learning, personal and professional development.
Ideas, not titles: At Shakepay, the best ideas win, regardless of where they come from.
Benefits Become a shareholder: Every employee has stock purchase options as part of their compensation.
Reach your goals: Annual salary reviews.
Health and wellness: Access to health and dental coverage, including health and wellness expense accounts.
Remote work friendly: Work from anywhere in Canada, with optional access to our offices in Montreal and Toronto.
Level up: An annual budget of $2,000 for courses, certifications, and training to support your career growth.
Vacation: 20 days of vacation per year. And if you use all your vacation, we give you a $1,000 bonus.
Parental leave: Enjoy a parental leave top-up of up to 100% of your salary for 18 weeks.
Have fun together: Quarterly outings for teams or the entire company to foster in-person connection.
We encourage all applications regardless of your background or life experiences.
The base salary range for this position is $200,000 - $250,000 CAD. Base salary may vary based on factors such as years of experience, skills, and qualifications. Additionally, employees are eligible for stock options, performance-based salary increases, benefits including health and dental care, and paid time off.
We use technology, including artificial intelligence (AI), to support certain parts of our hiring process. This can include tools that help with planning, reviewing applications, communicating with candidates, and generating notes, guides, or interview summaries so our team can stay focused on the conversation. All hiring decisions are made by our recruitment team.
English proficiency is required due to the percentage of English-speaking customers and the nature of our platform, which is accessible to all Canadians.
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📌 Data Scientist en chef Croissance (Manitoba)
🏢 Unchain Data
📍 Manitoba