Data Scientist, Business Intelligence
Let’s Do This
Let’s Do This is the online company getting people offline.
We exist to inspire people across the world to come together and experience moments that make them feel alive. The first vertical we’re focusing on is mass participation sports events, where we’re proud to be the global leader.
We now take over 750,000 bookings every year, driving growth for our industry from the large-scale experiences like the UK’s Great North Run and San Francisco’s Bay To Breakers to hero races like the Hackney Half, the London Triathlon, or grassroots runs like those from RunThrough.
We’ve grown exponentially in the UK since our launch in 2017 and are now in the process of expanding within the US market with the same energy our brand represents. Our investors include Tier 1 VCs NFX, EQT, Y-Combinator and legendary individuals Serena Williams and Usain Bolt.
How did we do it? With an exceptional team. The Let’s Do This team brings in experience ranging from London’s fastest growing start-ups to the world's biggest tech companies, including Facebook, Google, Deliveroo, King and Skyscanner. Having just been named as one of the UK’s top 15 startups 2021 by LinkedIn, it couldn't be a more exciting time to join our team.
Data scientists at Let’s Do This play a pivotal role in the organisation’s decision making process. They sit embedded in cross-functional teams with peers in Sales, Product Management, Data Science, Engineers and others to become experts in their domain. As a member of this friendly and knowledgeable team, you will gain a deep understanding of the events marketplace and have an impact on the strategy and direction of Let’s Do This. You will report to our Director of Analytics, and collaborate with a team of really solid data scientists from companies like Deliveroo, Amazon and King
This role will operate within our Supply team, a team focused on both growing our partner base and the value we provide to our partners. Working closely with cross-functional stakeholders, you will help the team understand how they can increase the number and quality of events and organisers that are part of the Let’s Do This family. This is a great opportunity to impact one of the core drivers of the company’s growth.
Analyse: Analyse user behaviour, our markets and internal processes to identify opportunities to improve how we run approach targeting event organisers. Ensure high quality of recommendations, to enable the best possible decision making. Translate business needs to technical requirements and analysis designs, to measure the impact of our decisions. Help build tracking and data collection that allows precise measurement. Build tools and dashboards to let everyone in the team explore data and monitor performance. You have a strong acumen of how to conceptualize a business in terms of metrics, understand how we can use those to balance supply and demand, and argue convincingly for your conclusions. SQL and Python are comfortably in your toolbox and you have experience with transforming data into a format that is relevant to the problem you are solving.
Recommend: Be a driving force in making the company more data driven. Interpret analysis to give recommendations on business decisions. Communicate results and conclusions clearly and accurately. Own relationships with stakeholders within the Supply teams, and make sure that they have the data to make better decisions.
Impact: This role can hugely improve how we run our business and the user experience of our product through relevant recommendations. A constant focus on positive impact for the business will help being epic in this role. In terms of work practices, you focus on speed, design for simple solutions and have an understanding of what is good enough.
We want to create an inclusive environment that celebrates the diversity of our people whilst enabling them to do the best work of their careers. We are committed to ensuring that all our people processes are equitable. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.