Data Scientist, Software Engineer at HomeX
🇬🇧 United Kingdom › Cambridge (Posted Apr 18 2021)
About the company
Do you want to reinvent a trillion-dollar industry?
HomeX is a radically better home services platform combining world-class technology and next generation service operations. We are reshaping the experience for both consumers and businesses in the trillion-dollar home services industry.
Being radically better requires new end-to-end solutions for both consumers and technicians. This is why HomeX is combining a technology platform for the entire industry, a managed service network, and full-service experiences for consumers. Creating this integrated ecosystem enables us to deliver uniquely simple and personalized solutions that are redefining home services.
HomeX has experienced exponential growth because of our commitment to evolve the industry, our determination to be a positive force, and our passion for groundbreaking technology. Joining HomeX now is a once in a lifetime career opportunity for anyone passionate about making a difference and making history in consumer technology.
Note: All HomeX offices are currently closed due to the coronavirus pandemic. As of Feb 2021, we plan to reopen offices some time in Q3 and will expect most employees to work onsite ~3 days per week.
Why work with us?
Working at HomeX means collaborating with experienced, people-first leaders with a clear vision and a track record of success, as well as the close-knit camaraderie of a team of highly talented and motivated coworkers. We offer a collaborative, positive working environment where we encourage employees to balance productivity with the need to recharge the batteries. And of course, you get paid pretty well - we offer competitive compensation packages, including equity, performance-based incentives and competitive benefits for full time employees.
HomeX is an end-to-end technology and services platform for both homeowners and service providers, radically improving the historically complex and fragmented home services industry.
About the Job
Radically changing the home services industry requires a significant investment across a breadth of research topics. The science group at HomeX is expanding to help us do exactly this. We are currently working to solve some of the hardest problems in the areas of stochastic optimization, vehicle routing, logistics, dynamic pricing, natural language processing, machine reasoning, knowledge engineering, and ontology. Joining our Applied Science group now provides opportunities to help define future direction, break ground in new areas, and contribute back to the community.
We’re looking for a Data Scientist / Engineer to join our applied science team in Cambridge, UK. You’ll be responsible for developing state-of-the-art, real-time data and decision pipelines that help us maintain insight into our exponentially growing ecosystem of consumers and home service providers. Your actions will drive the strategy of several other teams, influencing how we develop our online content and launch new home service products.
Design high-performance, reliable data pipelines to deliver insights into HomeX’s rapid user growth.
Develop and own real-time decision models that act on these insights and influence the efforts of other teams.
Generate sophisticated data visualizations that can be understood across the business.
Undertake data-driven studies to inform HomeX’s online content strategy.
A solid degree in a highly quantitative STEM subject such as Mathematics, Operations Research, or Computer Science, or a related technical discipline. MSc or PhD qualifications are a plus.
Familiarity with a range of up-to-date data science techniques, and knowledge of Bayesian statistics.
Interest or experience in database query languages such as SQL, and cloud-native data processing (AWS, Snowflake).Experience with or willingness to learn data visualization libraries such as D3.js.
Experience in mathematical modelling and/or simulation of complex systems from first principles.
Understanding of optimization concepts, for example linear and integer programming, is a plus.
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