Marley Spoon is the new way to cook. We bring delightful, market fresh and easy cooking back to the people while building a sustainable supply chain for a waste-free world.
We’re a well-funded and publicly listed company (ASX : MMM).
We operate across 3 continents and in 8 countries with over +900 employees worldwide. Being passionate foodies, we are using technology to reinvent the global food supply chain to reduce food waste.
In the end, it's simple : We started Marley Spoon because we love cooking! We now have an exciting opportunity to bring a Data Scientist on board our team, working across all brands and territories.
This is a once-in-a-lifetime opportunity to be part of the food revolution and join our food-tech start-up as we take our growth to the next level.
As a part of the team, you'll be responsible for :
Building a range of analytical models (Prescriptive, Predictive, Diagnostic, Descriptive)
Building predictive and segmentation models (e.g. RFM segmentation, churn prediction, sentimental analysis, recommendation engines, next best offer, propensity scoring models, etc.
making use of relevant data from multiple data sources
Deploying, maintaining and improving the models using various types of algorithms and techniques
Mine data from multiple sources and to build / enhance stored procedures / functions
Providing deep-dive analytical support for the business
MSc or Ph.D. in a quantitative discipline : Machine Learning, Computer Science, Statistics, Applied Mathematics, Physics or related fields
Minimum of 3 years experience in a Data Science related role working
Hands-on experience in building segmentation and prediction models with large datasets using various algorithms and techniques (decision trees, logistic regression, neural networks, clustering, etc.)
Fluent in Python and common numerical and ML packages (NumPy, SciPy, Scikit-Learn, Pandas, Keras, TensorFlow, PyTorch, and PySpark)
Good software engineering practices e.g. unit tests, logging, CI / CD pipelines, software patterns and experience developing production software
Sound knowledge of classic prediction processes (classification, regression, ranking, time series), and inferential statistics (tests, interpretation of models)
Experienced in online testing methodologies (AB Testing, Multi-armed bandits)
Experienced dealing with large amounts of data and knowledge of big data technologies (e.g. SageMaker, AirFlow, Snowflake, Looker)
An environment that enables you to learn fast and progress quickly
True ownership, real responsibilities, and strong opportunities for growth
Awesome team events, such as company pub quiz nights and TGIF beers
Language lessons, Fitness Partnership, Pension Insurance
Free Marley Spoon boxes
Test kitchen in the office - you get to try our recipes first!
Flat hierarchies and a great team spirit
An open, diverse and respectful working environment with over 50 nationalities worldwide
Formal training and development days
Additional leaves for staff with long tenure