Senior Data Scientist | Central London with WFH | 60-80k
La Fosse are currently partnered with a fast-growing, venture-backed SaaS-enabled online marketplace and app that is rapidly reshaping the global health, beauty and wellness industry. They're transforming how customers find and book appointments with salons, gyms and spas around the world. Each month, tens of millions of customers and thousands of Partner businesses enjoy using the exciting tech platform across the globe.
They recently passed a big business milestone of having processed 300M+ appointments worth over $10B on the platform. they have just raised over $100M in venture capital funding from top-tier investors across New York, London, Paris, and Berlin, and are now looking to accelerate growth into future endeavours.
About the role
The Senior Data Scientist is a core part of the Analytics team. They seek people who will help drive the business forward and challenge norms by striving for more and helping accelerate analytics.
What you'll do
Work closely with product and user experience teams to help discover the art of the possible within their products when it comes to data science.
You will be experiment led, delivering proof of concepts with pace to be used by product teams to test, learn and generate new product ideas.
You will be responsible for ensuring the product teams have a firm understanding of the features and enhancements that could be applied by data science to their products, and what the steps are to realizing these ideas.
You will advise on the best way to store and prepare data for use by ML applications.
Support Product and Engineering team members with data requirements to drive the direction of new feature releases
Work with a team of highly skilled data scientists; supporting recruitment, skills assessment and mentoring to assist in their personal development.
What we're looking for
5+ years of experience in data science and machine learning
Strong proficiency in SQL
Fluency in R, Python or Java
Familiar with APIs, data scraping and wrangling
Experience with at least one major data visualisation tool (preference for Sisense/Periscope Data or Looker)
Practical knowledge in applying machine learning techniques
Strong experience relevant to developing machine learning and statistical models for web applications
An understanding of the supporting statistics and mathematics
Strong experience in associated data preparations and data visualizations for building predictive models.
Application of semantic modelling, knowledge of extraction and knowledge representation
Experience developing production-grade, performant, scalable applications
Experience in helping teams with little practical experience in ML getting up to speed and productive
Strong written and oral communication skills, including comfort presenting findings at a leadership level
What we offer
A competitive salary
Flat organisation / management structure where everybody is empowered to have an impact within the company
The opportunity to work with incredible analysts and data scientists, with a company that produces millions of records of data every day
The opportunity to work on a global platform which is transforming a growing industry segment and have high impact within it
Flexible working hours if needed
A central office in Shoreditch, London (just 5 minute walk from the Liverpool St station)