Our mission is to help developers use live data in their applications, faster.
The use of event streaming is booming. Organisations are in a race to become data-driven, but working with live data-in-flight remains difficult, time-consuming and costly.
Our innovative developer-first platform enables developers and enterprise to build, test and deploy live models and services directly on Kafka, fast.
With built-in scale, efficiency and resilience, our unique Stream SDK supports time-series data, events, metadata and binary blobs, integrating seamlessly into the application stack to deliver an end-to-end platform that developers love, in minutes.
Quix is adopted by developers across the video game, racing, manufacturing, automotive, health and telco industries.
Our team rapidly developed into a remote-first organisation during 2020 with people now living and working across the world.
We are building a category defining platform which will launch a new data-driven epoch.
Join us and bring your passion!
As a data scientist you will help develop products that developers love to use by building and delivering features for the platform. You will:
Adopt the role of customer zero, working closely with engineering and design to create new product features across the model development lifecycle, streaming, and data accessibility.
Use data science to optimise internal systems including our multi-tenant compute infrastructure, pricing, billing, fraud, observability and monitoring.
Develop sample projects in python and engage with data scientist communities through multiple channels to demonstrate the power of Quix.
Work with designers and product marketing to communicate solutions to developers.
Support customers with solutions and advice on complex machine learning challenges.
Keep a constant eye on customer gaps by understanding their underlying business problems, propose appropriate solutions and identify where solutions can become Quix product features.
Grow to data science lead position when the company grow and hire more data scientists.
Required skills and knowledge
5+ years of relevant experience, including 2+ years in streaming data applications
Professional experience in a real-time streaming environment.
Established technical, analytical and communication skills
Experience in actively engaging with customers
Strong Python developer
Proficient experience across the ecosystem of data science libraries (Spark Streaming a plus)
Nice to have
Relevant academic education. For example a Degree/Masters/PhD in Engineering / CS / AI / ML
Experience engaging with technical communities
Experience with BI analytics
Active contributor to open-source projects
- Work from home anywhere in the UK and EU (must be willing to travel)
- 2 annual team meet-ups in EU destinations (normally beaches and mountains)
- Generous stock options commensurate with the opportunity
- 37 days holiday (including all public holidays in your region)
- 2 additional paid days off a year for volunteering work
- Budget to choose own hardware and office set-up
- Training and personal development budget
- Regular socials with paid food/drink/games allowance
If you are interested in joining Quix, please send your CV to email@example.com