Lori Systems is a fast growing, technology venture based in Nairobi, Kenya led by Harvard & MIT graduates and backed by local & international investors and advisors. Leveraging 3 years of research at Harvard and in-house developed technology, Lori has built a logistics platform that is revolutionising the cargo-transport value chain in Africa – from the ground up. The relative cost of moving goods in the region is one of the highest in the world – leading to up to 75% of a product’s cost going to logistics (compared to 6% in the US). Lori enables the logistics space to operate at an order of magnitude more efficiently than it does today. Higher efficiency through Lori has been demonstrated to drive costs down which is expected to create new jobs & stimulate overall economic development in a tangible way.
Lori is seeking a hands-on Junior Data Scientist to join our Product team based in Nairobi. As a Data Scientist, you will be responsible for helping business teams understand the business better using data. You will work closely with business teams, data engineers and software developers as you interpret business requirements and translate them to logic that will pull and organise data.
- Interpreting business requirements in order to develop logic based on schema and available data
- Building dashboards/reports using SQL on a Business Intelligence platform
- Support the adoption of BI user self-serve
- Automate moving of data from the AWS ecosystem to the BI (Metabase) using Airflow
- Build and maintain Data pipelines from external data sources
- Collaborate with members of the Tech team (e.g. data engineers, Product Operations Managers, Software Engineers, and other data scientists) on the project’s goals.
- Support Senior Data Scientist to train and Operationalize Machine Learning Models
- Build and Maintain Machine Learning Pipelines.
Requirements
- Bachelor’s degree in computer science, software/computer or any engineering discipline, applied mathematics, or physics statistics or Experience in a related field with real-world skills
- Testimonials from former employer or colleagues.
- Possible two years work experience or personal projects that will form proof of technical expertise and skill mastery.
- Intellectual curiosity to find new and unusual ways of how to solve data management issues.
- The ability to work in a team with diverse people such person will be a team player
Tools
- SQL, NoSQL, AWS, Python, Relevant Python libraries and frameworks for data science
- Experience using metabase will be an added advantage
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