Senior Data Scientist

Company:
Location: London

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Job Description: Senior Data Scientist
Position based in: London
About Fresha

Welcome to Fresha! We are a fast-growing, venture-backed SaaS-enabled marketplace that is rapidly reshaping the global beauty and wellness industry. We’re transforming how customers find and book appointments with salons and spas around the world. Each month, tens of millions of customers and thousands of Partner businesses enjoy using our platform across the globe. We have big plans to be a recognised global category leader, and we’re looking for exceptional candidates who are eager to make their mark on a global scale.
We recently passed a big business milestone of having processed 300M+ appointments worth over $10B on our platform. We’ve raised over $100M in venture capital funding from top-tier investors across New York, London, Paris, and Berlin, and we’re looking to accelerate our growth into future endeavours.

About the role
The Senior Data Scientist is a core part of our Analytics team. This is a growing team with a high bar in terms of recruiting new people to join us. We seek people who will help drive our business forward and challenge norms by striving for more and helping accelerate analytics at Fresha. Aside from your skills and experience, we’re most interested in your growth mindset and development potential.
This is a full-time role that’s based in our London office, but we’re all currently WFH. We expect to maintain a culture of flexibility and a mix of WFH and office time.

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
Experience writing clean, maintainable, and modular code that can be easily understood and audited by others
Strong attention to detail and a desire to drive quality on all projects
Bonus points if...
Bachelor's or Master's degree in a quantitative field (e.g. Statistics, Mathematics, Computer Science, Economics, Finance, Information Systems, etc.)
Previous work experience in high-growth technology startups
Familiarity with web analytics tracking tools (Google Analytics, Hotjar)
Experience with building machine learning models (market basket analysis, regression analysis, etc.) to forecast trends in user behaviour
Experience accessing, manipulating, and reporting on data from the APIs of various cloud tools (e.g. HubSpot, ZenDesk) is a plus
What we offer
A competitive salary, negotiable based on your experience.
Flat organisation / management structure where everybody is empowered to have an impact within the company, and where high performers are offered fast-tracked career development opportunities
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
A central office in Waterloo, London… Which we’re not utilising too much as we’re mostly WFH, but it’s pretty nifty : )
When we are in the office, we have all of the usual bases covered: fruits, veggies, cakes, coffee, and tea to keep you fueled; various team events as part of our culture

If you feel this job ad describes the company you want to work for, don't hesitate. We want to speak with you. Team members who demonstrate exceptional results are rewarded with a fast-track career.

*** Mention DataYoshi when applying ***

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