Jun 08, 2023 - Marley Spoon is hiring a remote Data Scientist. 📍Location: Portugal.

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.

We operate across 3 continents and in 8 countries with over +1500 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
Experience in a Data Science related role
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.)
Hands-on experience 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 dealing with large amounts of data and knowledge of big data technologies (e.g. SageMaker, AirFlow, Snowflake, Looker)

Benefits

Autonomy, Impact, Collaboration, Learning & Growth
Being part of a profitable company in full-blown scale-up phase - offering immense opportunities for personal & career growth
Flexible working hours, a hybrid work environment and/ or full remote
Spend 5% of your working time on personal learning and development
Conference / Training budget
Food allowance of 7.62 euros per worked day
Health insurance to all employees
Company training in different areas
Company equipment
Company Events
Extra Annual leave days (total 24)

Marley Spoon

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[Hiring] Data Scientist @Marley Spoon