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 !
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 Data Scientist 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 machine learning algorithms and production code
Publishes charts and dashboards to share its analysis and findings
Ensure data quality and develop tests
Troubleshooting and support abilities
You have a MSc degree (or equivalent) with a major in Data Science,
2+ year of professional experience in Data Science in Agile environment
Knowledge and experience with relational databases
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Programming skills in Python and experience with scientific programming libraries (Pandas, Numpy, Scikit-Learn)
Experience building and deploying machine learning models to production.
Experience in cloud environments is a plus. (GPC, AWS, Azure)
Proficient with programming toolbox (Git, Linux, …)
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