Senior Data Scientist

About Float

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 product

Float 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 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.‬

As a Senior Data Scientist at Float:

• You’ll develop a data strategy that is aligned to Float’s strategy, identify key‬ metrics, which data needs to be collected, and set the processes for how data‬ will be stored, cleaned, and maintained at Float‬
• ‬‭You’ll build upon Float’s data infrastructure and determine which technologies‬ and tools the company should use for its data science activities.
• ‬‭You’ll build and maintain our data warehouse, using DBT to transform our data unlocking deeper analytics and empowering those outside the data team to‬ use data in their day-to-day‬
• ‬‭You’ll work closely with the product team to build data-led products‬
• ‭‬‭You’ll analyze large-scale, complex datasets to extract meaningful insights and‬ drive decision-making‬
• ‬‭You’ll evaluate the performance of existing models and propose enhancements to improve accuracy, efficiency, and scalability‬
• ‬‭ You’ll work closely with all teams across Float to understand their data needs‬ and provide solutions‬‭

Your impact will be:

• Help develop the products and features that are most valuable for Canadian businesses
• Democratize access to data for all Floaters
• Enable Float’s customers to better understand their finances with accurate and timely data
• Help Float better understand our client’s needs to target product adoption

A few must have experiences:

• You’ve worked in Fintech and startups
• You understand the concepts of product analytics and product adoption modeling
• Experience in the full data stack wearing multiple hats

You’ll be great in this role if:

• You’re 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.
• You’re 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.
• You have solid technical skills. Strong skills in data modeling, data structures, data mining, predictive modeling and analysis tools (such as Python, SQL, DBT), and data visualization tools, are crucial. Understanding of machine learning algorithms and statistics is an asset.
• You 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.
• You’re 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.
• You 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.
• You ruthlessly prioritize. You will have multiple responsibilities and projects. Being able to effectively manage your workload and meet deadlines is crucial.
• You have an experimental mindset. The ability to design and analyze experiments will be very helpful in optimizing products and making business decisions.
• You’re 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.

This role won’t be a fit if:

• 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

Don’t meet every single requirement? If you’re excited about this role, and you strongly align with our values but your past experience doesn’t align perfectly, we encourage you to apply anyway. You may be the right candidate for this, or other future positions.