Who We Are
At Float, we’re more than just the world’s leading resource planner. We’re a team of people living our best remote work lives. From New York to the UK, Canada to South Africa - our team of Engineers, Product Managers, Marketing and Customer Success work asynchronously to help brands such as Airbnb, Buzzfeed and Ogilvy better plan and manage their time. Float is self-funded, profitable and growing. If you have experience with asynchronous remote work, align with our values, and are looking to join a team of great folks, we want to hear from you. We get a lot of applications so make sure yours sticks out - here are a few tips from our CEO.
Who We're Looking For
We're looking for someone with proven experience in a Data Scientist role, preferably for an SMB or enterprise-grade SaaS. You'll be able to demonstrate specific examples of how your work delivered actionable insights that improved the customer experience.
A candidate will require the following skillsets to be successful in this role:
- A strong understanding of relational databases (MySQL)
- Experience with statistical modelling (such as time series forecasting and A/B testing)
- Experience with data visualization and dashboarding (Tableau or Python/R plotting libraries)
- Experience with applied machine learning for clustering, classification, and regression
- Experience with cloud computing (e.g. GCP)
As a fully remote team, we're looking for hands-on, senior-level candidates whose primary focus and love is the work. Asynchronous is the default form of communication here at Float and we have very few meetings so you’ll have long stretches of time to focus on deep work. Everyone at Float leads by example and sets the bar for quality. If you have the skills above as well as proven experience in a senior data scientist role, preferably for an SMB or enterprise-grade SaaS, we want to hear from you.
What You’ll Do
You’ll partner with our experienced team of Senior Product Managers in the discovery and development of new product features. Working from briefs backed by qualitative feedback, you’ll use quantitative data to sharpen the narrative and shape the solution.
Examples of this work include analysing patterns in the delta between customer planned and actual work hours, that enable teams to more accurately forecast a future project. Another may be the impact of planned Time Off on long-term project performance. Along this path, your investigations will aim to uncover unique and innovative data-driven insights and solutions.
From day one, you’ll have access to Amplitude event tracking, Google Analytics and raw database data. Over time, and as we continue to scale, you’ll develop systems and tools to centralise, manage and visualize this data, and define the future of data science at Float. Your work will be measured by improvements to net customer growth, with a primary focus on driving customer team-size expansion
What We Offer
The salary for this role is US $148,500.
We have a range of expanding and improving benefits and perks including:
- Home office expense budget
- Co-working expense budget
- Health &Fitness budget
- Annual team meetup
- Care for your community
For those in the US, we pay 50% of your medical, dental &vision coverage, including partners and children. We’re a global company so we encourage people of different locations, nationalities, backgrounds and perspectives. Since our HQ is in New York, those outside of the US will be hired as contractors but don’t worry, you get access to the same great benefits.
About Our Process
You can find a lot of useful information about our interview process and what it’s like to join our global team on our Float careers page.
We appreciate and understand the time and energy that goes into crafting a solid job application so we thank you in advance. Unfortunately, we are unable to provide individual feedback during the application stage due to the volume of applications we receive.
Data source
We Work Remotely