Senior Data Scientist
Marley Spoon
Lisbon, Lisbon, PT
há 2 dias


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
  • Requirements

  • 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)
  • Benefits

  • An environment that enables you to learn fast and progress quickly
  • Working remotely
  • 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
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