Senior Data Scientist
1 month ago
About Float Financial Solutions Inc.
We're one of Canada's fastest-growing companies, serving Canadian businesses with our innovative smart corporate card, bill pay, and spend management solution. Our team is customer-obsessed, passionate, vibrant, and entrepreneurial, with executives from top tech companies.
At Float, everyone is an owner, bringing their unique perspective to our team and product. Your voice is important, and we take having a culture based on feedback seriously. We openly share our thoughts, feedback, and differing opinions so we can continue to improve.
Our product
Float is Canada's first modern financial institution built to help Canadian businesses grow. We're making finance more accessible and saving businesses time and money, while empowering them with capital and disrupting the multi-trillion dollar global B2B finance industry.
About the Senior Data Scientist Role
We're looking for an experienced Data Scientist to play a foundational role in shaping Float's data science capabilities, strategies, and to continue to build out our Data Science team.
Key Responsibilities
- Develop a data strategy that aligns with Float's strategy, identify key metrics, and set processes for data collection, storage, cleaning, and maintenance.
- Build upon Float's data infrastructure, determining technologies and tools for data science activities.
- Build and maintain our data warehouse, using DBT to transform data and unlock deeper analytics.
- Work closely with the product team to build data-led products.
- Analyze large-scale, complex datasets to extract meaningful insights and drive decision-making.
- Evaluate model performance and propose enhancements to improve accuracy, efficiency, and scalability.
- Collaborate with all teams across Float to understand data needs and provide solutions.
Requirements
- Be an owner, taking on challenges and driving them to completion.
- Explain complex data in simple terms, communicating findings to stakeholders.
- Have solid technical skills in data modeling, data structures, data mining, predictive modeling, and analysis tools.
- Understand the business context, knowing how data impacts the business and drives decisions.
- Be comfortable in a fast-paced environment, adapting to changes as they occur.
- Balance attention to detail and strategic thinking.
- Ruthlessly prioritize, managing workload and meeting deadlines.
- Have an experimental mindset, designing and analyzing experiments to optimize products and make business decisions.
- Eager to continue learning, having healthy debates with colleagues about the product.
Benefits
Benefits and Perks of working at Float:
- Competitive compensation & total rewards
- Flexible work hours and time off when you need to recharge
- Small team = lots of autonomy to make a huge impact
- Opportunity to work with and learn from a world-class team
- A personal Float card with a monthly stipend to spend on what matters most to you
- A dog-friendly office
- Being able to say you helped build Canada's best corporate card and spend management platform
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