Subscribe to Job Alert
Join our happy subscribers
Never pay for any CBT, test or assessment as part of any recruitment process. When in doubt, contact us
WELCOME TO SUPERBALIST Here it is – the site where you can shop the world’s best brands shipped quickly, easily and free-of-charge, to your door. Our multichannel platform, including the Superbalist App and our blog, The Way of Us, serves the latest in trends and style advice to 1.5 million registered subscribers daily. What we do From fashion...
Read more about this company
Who’s who
This position reports to Engineering Team Lead (Machine Learning)
The high level
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams
Self-starter, can work independently and take responsibility for problem identification
Your qualifications & experience
Computer Science degree (alternatively a degree in a related field with work experience as a software engineer)
Strong Mathematical or Statistical experience
Understanding of machine-learning and operations research
2+ years experience applying advanced analytics to real-world problems, preferably in a commercial environment
Experience using business intelligence tools and data frameworks
Scenario testing techniques
Excellent communication and presentation skills
Areas of mastery
Modeling toolkit (Neural Networks, Clustering Methods, Classification, etc.)
Strong in python analytics toolkit (Graphing, Data Profiling, Data Preprocessing, etc)
Bonus points
MSc (or even PhD)
Experience handling big data and/or knowledge with advanced analytical techniques.
Event driven architecture (PubSub/Kafka)
Docker, Kubernetes
Dataform, Looker
Experience with e-commerce or retail based applications
The skills we need
Be creative
Be flexible
Be data oriented
Take pride in your work
Comfortable using open source technologies
Build your CV for free. Download in different templates.
Join our happy subscribers