Data Scientist, Delivery - Berlin, Deutschland - Bolt Technology

Bolt Technology

Geprüftes Unternehmen

Berlin, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Some examples of real life projects we work on:

1. Building models to estimate the food preparation time at various stages of the order, such as before and after the order has been accepted
2. Building complex demand forecasting pipelines for our Bolt Market dark stores
3. Using optimisation techniques for dispatching, demand/supply balancing to minimise the delivery time of our orders
4. Building simulations to understand the impact of varying market conditions on our business metrics
5. Building recommender systems and rankers to provide the best ordering experience to our clients
Please note that _
_Berlin__ is a techhub where we are hiring locally only, and Bolt will not support your relocation to _
_Berlin__. However, relocation to Tallinn (our HQ) will be supported. See the relocation support we are providing _here_.If this role is interesting to you, and you're currently located outside of _
_Berlin__, please consider this role in Tallinn, Estonia instead._

Your daily adventures will include:

Working with a technical stack consisting of Python, Docker, SageMaker, Airflow, Spark, Presto
Solving real world problems using gradient boosted trees, mathematical optimisation, time series forecasting, recommender systems, deep learning and more
Understanding the core needs of our Delivery businesses and translating their problems to technical specifications
Handling the entire lifecycle from exploratory queries and notebook prototypes to a working machine learning model or other automation that might be serving thousands of calls per second in production
Leveraging our inhouse model lifecycle platform that allow you to launch new projects in a matter of days
Working in product feature teams together with data analysts, product managers and software engineers
Discussing the problems and technical innovations within the broader data science team that provides a pool of peers and mentors
Deploy and validate solutions for millions of users, enabling fast feedback and measurable added value to customers

We are looking for:

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Industry experience in data science and machine learning (3+ years recommended)
Awareness of both business and technical aspects of data science
Experience in Python programming, including libraries like Pandas, Numpy, sklearn, ORtools
Understanding and practical experience with statistical hypothesis testing
Proactive mindset, willingness to take initiative and work with little supervision
Handson experience with most used methods for dimensionality reduction, clustering algorithms, rankers, regressors, classifiers, etc (PCA, DBSCAN, Spectral Clustering, gradient boosted trees, deep neural networks, SVM, linear/logistic regression, ranking models and others)
Enthusiasm to collaborate with different roles in product, analytics and engineering to identify problems, explore trends and discover growth opportunities
Strong verbal and written communication skills in English
Track record of deploying models to production and measuring the impact

You will get extra credits for: