Data Scientist

Company:
Location: Clementi

*** Mention DataYoshi when applying ***

Company Introduction


Connected Freight is a technology startup funded and incubated by Shell Ventures; one of the first corporate venture funds to focus on reducing emissions. Connected Freight enables a network of retailers, suppliers, and logistics providers to have an integrated process for order, dispatch, and fulfilment of your deliveries. With Connected Freight as your logistics partner, you save time, money, and reduce your carbon footprint. This is accomplished in one secure, transparent, and convenient platform.


Due to our aggressive core growth plans, and a major shipping provider asking us to digitize one of their lines of business, we are scaling our technology team. This includes the addition of several data scientists.


As a data scientist you are expected to help formulate clear problem definitions, work on proof of concepts to prove the feasibility of the proposed approaches and maintain and improve our current models in production. Additionally, by suggesting and implementing metrics to be tracked you will help us with building out our analytics capabilities. As such, a good foundation in mathematics and statistics is expected. Expect to work on a broad scope of data science related problems, varying from regression to mathematical optimisation, so any experience in such topics is appreciated. However, don’t be deterred, what we value most is willingness to learn and the persistence to work through challenging problems.


Job requirements

  • A bachelor's or master’s degree and 0-2 years of experience with a good foundation in mathematics and statistics (e.g. business analytics, mathematics, statistics, theoretical sciences, computer science or similar)
  • Demonstrable knowledge of at least one programming language, and a willingness to learn more. We don’t work in a particular language but expect to interact with Kotlin, TypeScript, Python and some R.
  • Demonstrable experience in data analysis. Having knowledge of ML concepts and libraries is preferred.
  • A good foundation in operations research is highly preferred. Familiarity with problems such as scheduling problems, vehicle routing problems, cubing problems and bin-packing problems is appreciated.
  • Any experience working on problems in the logistics domain is highly valued (e.g. transport, aviation, warehousing, etc.).

*** Mention DataYoshi when applying ***

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