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Description: |
We are looking for a talented data scientist to help us build and refine our algorithms and modelling processes to enable marketing teams to gain actionable insights without needing any technical knowledge. The ideal candidate would have a passion for mathematics, some experience undertaking statistical or data science techniques for analysis, and an understanding in machine learning and automation. You would be working closely with every member of our team, particularly our Technical Lead. The ability to translate technical concepts for a non-technical audience is highly desirable. Some marketing experience is desirable but not necessarily.
Why join us?
• Creative environment
• Working on something bigger than ourselves – looking to shift industry standards
• Fighting for those without the capabilities – looking to empower non-technical users
• Big believer in work/life balance – will plan workload to leave Fridays as a day to work on yourself. How are you meant to produce the best work you possibly can, if you don’t take time to work on yourself?
• Opportunity to work on something completely innovative
Onlyscience values:
• Make an effort to understand someone else’s perspective – 6 & 9 are physically the same shape, it however is portrayed as a different number according to one’s perspective of it.
• It doesn’t hurt to be kind
• Always ask why, don’t take things for granted
• Don’t take yourself too seriously
• Comparison is the thief of joy! We compare ourselves today with ourselves yesterday, not others. As a result, the work we will produce in 6 months, will be better than our work today.
Key responsibilities:
• Develop and optimise unique algorithms that automate complex statistical and analytical processes
• Develop optimisations to Onlyscience codebase
• Collaborate with engineering teams to implement and scale algorithms in a production environment
• Apply machine learning, statistical models, and predictive analytics to solve key business problems related to marketing effectiveness/performance
• Produce model comparison checks as part of the iterative modelling process
• Assist in the development of a LLM for the production of actionable insights
• Look to continuously monitor and improve the quality of models and data pipelines
Additional Responsibilities:
• Work closely with the technical lead
• Work on data science project repositories
• Collaborate with engineering and customer-facing teams
• Be comfortable pitching and challenging ideas
Tech stack:
• Python for DatSci
• Comforable with associated Python libraries for data science (e.g. Tensorflow, Matplotlib, Spicy etc.)
• Cloud infrastructure experience (any of: GCP, Axure, AWS)
• Experience managing databases (BigQuery / SQL)
• Git version control. Hosting via GitHub or equivalent
• Jest, Cypress, or equivalent testing tools |
