Senior Data Scientist / ML Engineer (H/F)
- Paris, France
- Employees can work remotely
- Department: Product &Tech
Founded in 2014, Shippeo is a French SaaS company leading the European market in helping shippers and logistics companies track their freight shipments in real-time to improve visibility throughout their end-to-end supply chains. 🚚
Having already raised €71 million in funding, Shippeo is growing rapidly. The team has more than doubled in size to 160 within 2020 and the scaling will continue throughout 2021. Our team of Shippians comprises 27 different nationalities, speaking a total of 29 languages !
What Shippeo does
Our product is composed of a mission critical SaaS web platform, with high traffic inbound/outbound integrations. Our mission is to anticipate problems and proactively alert end-customers so they can efficiently manage exceptions. We achieve this by collecting and matching millions of theoretical and real data from different stakeholders.
Shippeo gives visibility to shippers, carriers and customers by answering the following questions:
where is the truck, and are there any foreseeable delays?
what has actually been loaded and/or delivered, and are there any discrepancies?
what are the levers for improvement for the transport operations?
The technical team is structured in three Tribes, each split into multiple feature teams:
1. Connect & Go Live: quickly connect shippers & carriers to have the project ‘live’
2. Track to React: make our product as sticky as possible for daily users
3. Analyze & Predict: leverage our data to build data products (extraction, analytics, decision support tools, algorithms)
What you will do
We are looking for a Senior Data Scientist / ML Engineer to join our Analyze & Predict tribe.
The Analyze & Predict tribe is responsible for leveraging the large amount of data that Shippeo has been acquiring over the course of running the platform and rolling it out to multiple shippers and carriers, to get insights from it.
One of the main products the team builds and improves is Shippeo’s proprietary Machine Learning algorithm that predicts Estimated Times of Arrival (ETA) of trucks, which is an extremely difficult exercise due to all the uncertainties in road transportation (traffic, weather conditions, driving regulations, time spent on on loading or delivery site, etc.). We are constantly looking for new ways to make the ETA prediction as accurate and reliable as possible.
Your missions will include:
Build and maintain data pipelines that will feed our ML models
Experimenting and prototyping new approaches of ETA predictions
Reviews technical literature and challenges existing models and algorithms
Designs complex algorithms to solve hard business problems
Promote and present data science work both within and outside of the organisation
Mentors data analyst and data scientists
4-5 years of experience in building machine learning systems to solve business problems
Experience building, maintaining, testing and optimizing ML pipelines and architectures
Programming skills in Python and mastering of scientific programming libraries
Advanced working knowledge of SQL, experience working with relational databases and familiarity with a variety of databases
Strong algorithmic skills and knowledge of popular data structures
Good understanding of deep learning concepts and experience with one deep learning framework (Tensorflow, Pytorch, etc.)
Strong skills in troubleshooting and support abilities.
Familiar with cloud environments
Used to work in an Agile environment and to write production ready code.
Knowledge of Google Cloud Platform
Experience with building containerized applications
Knowledge of compiled language (Golang, Scala, Java)
Phone interview with the hiring manager
Case study preparation
Case study presentation and interview with the rest of the team
Final interview with a co-founder