Float is on a mission to simplify finance for Canadian businesses, empowering them to eliminate complexity and unlock new opportunities. Through our innovative platform, Float enables businesses to streamline financial operations and optimize cash flow, so they can focus on what matters most: growth.
As one of Canada’s fastest growing companies and top-rated startups in 2024 and 2023, Float is customer-obsessed, passionate and entrepreneurial, with a team that includes leaders from Uber, Shopify, Top Hat, TouchBistro, and Ada.
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 and differing opinions so we can continue to improve. We do our best to keep our decision-making decentralized so that all team members feel ownership in our success.
Our ProductFloat is Canada's complete business finance platform, combining modern financial services and software to help businesses spend, save, and grow. Trusted by 4,000 Canadian companies, Float provides high-limit corporate cards, automated expense management, next-day bill payments, high-yield accounts and fast, friendly support—all built in Canada, for Canada. Float is backed by world-class venture and fintech investors, including Growth Equity at Goldman Sachs Alternatives and OMERS Ventures, partners behind our $70 million Series B raise.
Our team is a collection of ambitious, collaborative and mission-driven people from all walks of life but with one goal: helping Canadian companies not just survive but thrive. And we’re looking for bold innovators to help shape the future of business finance in Canada.
About the Senior Data Scientist roleWe’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 & Business Insights team.
What You’ll Be Responsible ForIdentifying key metrics, which data needs to be collected, and set the processes for how data will be stored, cleaned, and maintained at Float
Building upon Float’s data infrastructure and determine which technologies and tools the company should use for its data science activities.
Working closely with our leadership team to analyze business performance, test hypotheses and identify growth opportunities
Analyzing large-scale, complex datasets to extract meaningful insights and drive decision-making
Evaluating the performance of existing models and propose enhancements to improve accuracy, efficiency, and scalability
Working closely with all teams across Float to understand their data needs and provide solutions
Your Overall Impact
Helping develop the products and features that are most valuable for Canadian businesses.
Democratizing access to data for all Floaters.
Enabling Float’s customers to better understand their finances with accurate and timely data.
Helping Float better understand our client’s needs to target product adoption
You Put Customers First, Always. You care deeply about delivering meaningful value. Whether you're building internal systems or customer-facing features, you're always thinking about how to make life better for our users.
You Act Like an Owner. You take responsibility for outcomes, step up to challenges, and seek solutions proactively—doing what’s best for the business, not just your role.
You Think Big and Move Fast. You’re energized by building from 0 to 1. You’re not afraid to challenge the status quo, experiment quickly, and learn as you go.
You Constantly Learn and Grow. You’re hungry to improve your craft and open to feedback. You bring a growth mindset to everything you do.
You Raise the Bar. You care about doing things well and efficiently. You balance speed with rigor and always look for ways to improve how we work.
You Win as a Team. You’re a generous collaborator who values communication, context, and shared wins. You lift others up and help make the team stronger.
About You:You have experience with forecasting, causal inference analysis and experiment design
5+ years of experience in data science, with a strong focus on applying statistical techniques in product-driven environments
Extensive knowledge of SQL, Python, dbt, Snowflake
Strong understanding of statistics and statistical modelling
Ability to manage multiple projects and competing priorities
Proven ability to clearly communicate results and provide recommendations leveraging data
Experience in the full data stack, wearing multiple hats.
You’ve worked at a fast-paced startup
You understand the concepts of product analytics and product adoption modelling.
Are an owner. You love a challenge, and take great satisfaction in tackling them head-on. You love being a pioneer and taking on any task (big or small) and driving it through to completion. You are also comfortable making independent decisions and following your instincts to be able to move quickly.
Are able to explain complex data in simple terms. As you'll be communicating your findings to different stakeholders, your ability to present data in an understandable way is vital.
Have solid technical skills. Strong skills in data modelling, data structures, data mining, predictive modelling and analysis tools (such as Python, SQL, DBT), and data visualization tools, are crucial. Understanding of machine learning algorithms and statistics is an asset.
Understand the business context. You'll be more effective if you understand not just how to work with data, but also why you're working with it - i.e., how it will impact the business and drive decisions.
Are comfortable with a fast-paced environment. Float is a dynamic environment and things can change quickly. You should be flexible and able to adapt to changes as they occur.
Can balance attention to detail and strategic thinking. While it's important to delve into the details of your data, it's equally important to keep the big picture in mind.
Can ruthlessly prioritize. You will have multiple responsibilities and projects. Being able to effectively manage your workload and meet deadlines is crucial.
Have an experimental mindset. The ability to design and analyze experiments will be very helpful in optimizing products and making business decisions.
Are eager to continue your own learning. Scrappy and voracious, you want to know the ‘why’ behind every answer. You love to have healthy debates with fellow developers and colleagues about the product.
You’re not extremely detail-oriented
You are not open to a hybrid role
You aren’t a self-starter and don’t like to work independently
You’re not comfortable wearing multiple hats
You don’t like change and adapting to new ways of doing things
You aren’t comfortable with ambiguity
You aren’t able to translate technical jargon into simple language
You lack patience for iterative work
You want detailed to-dos for your tasks and projects
You’re not keen on learning new things
You don’t have strong stakeholder management skills
You don’t like regular feedback on your work
Work at one of Canada's fastest-growing fintech companies
Make a real impact in a high-autonomy, high-growth role
Collaborate with an ambitious and supportive team
Competitive compensation, equity options, and benefits
Hybrid work model – we are based in Toronto with in-office days for connection and collaboration
Enjoy catered team lunches every Tuesday and Wednesday
Bring your pup to our dog-friendly office
Thrive in a high-trust, high-performance culture where your work truly matters
At Float, you’ll thrive if you’re bold, curious, and eager to make a real impact. We're building something special—and having a lot of fun along the way. If you’re excited to build, grow, and win together, we’d love to meet you.
We’re committed to building a workplace that’s welcoming and accessible for everyone. If you need any accommodations during the hiring process or once you join Float, just let us know! You can reach out to Vic ([email protected]), and we’ll work with you to make sure you have what you need to succeed.
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