Senior Data Scientist, Float
Corporate cards and smart spend management software
Job no longer available
Corporate cards and smart spend management software
101-200 employees
Job no longer available
101-200 employees
Company mission
To simplify spending so companies and teams can focus on growing their business.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Traditional finance and internal expense processes are inefficient for companies. Spending on personal credit cards and filing receipts for reimbursement is a convoluted and complicated business practise. There needs to be a digital alternative to the historically laborious process of managing employee expenses.
Float is a fintech solution, built to simplify the inefficient internal expense processes. Rather than following the traditional method of spending on personal/corporate cards, filing expenses, and waiting for reimbursement - Float works by utilising technology that enables managers to allocate funds and approve expenses before purchases are made. The company also supports companies operating with remote workforces.
As the business world moves to become more international, companies will look to make their business spending as simple as possible. Float aims to develop its technology and cater to the challenge of company spending. It's $50 million C in credit financing will go some way to achieving its aims, all whilst expanding its business significantly.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Nov 2021
$25.7m
SERIES A
Jul 2021
$4m
SEED
Total funding: $31.2m
Company benefits
- Competitive coverage of medical, dental and vision insurance for employees
- Education & learning stipend for personal growth and development
- Flexible vacation time
- Work from home stipend to help you succeed in a remote environment
Company values
- Business spending made simple - Building a business is hard enough. We're pairing innovative financial solutions with intuitive software to empower companies and teams. We started by eliminating the time-consuming and mindless tasks associated with corporate spending and we're not stopping until all business spending is as it should be—simple
- Ready. Set. Grow - We know that with the right tools, companies and teams can focus on growing their business, not tracking expense reports, chasing receipts, or waiting for personal reimbursements
- Built with the best - We've devoted thousands of hours working directly with finance leaders, managers, and employees to build the best spending experience. Our team and investors bring experience from leading software companies including Uber, Shopify, Robinhood, and Clearco
Company HQ
Fashion District, Toronto, ON
Articles
Leadership
Rob Khazzam
(Co-founder & CEO)Previously worked at Uber for 5 years in international expansion and General Management in Eastern Europe and Canada. Prior to this they worked at a market private equity fund in Toronto.
Griffin Keglevich
(Co-founder)Previous Chief Engineer at Float, responsible for shipping and payments, previously worked in software engineering at KPMG and Shopify.
Ruslan Nikolaev
(Co-founder)Previous experience at WATonomous and then Uber as a Perception Engineer and at Shopify as a Data Scientist.
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