Data Scientist

Key Skills

Algorithms, Analytical and Problem solving, Analytical Techniques, Effective communication skills, English Proficiency, Large data sets, Python Programming, SQL

Job Description

Our mission is to move more with less. The world is changing, people want shorter and cheaper journeys and their goods to be delivered faster. Gone are the days when manual planning suffices. SWAT is building the technology to allow fleet operators and logistic companies to compete in this new world.

The patented algorithm we developed solves an academic problem (researched since the 1980s) called the “pickup and delivery with time windows” – in layman terms: how do you move the most number of objects (people or parcels), using the least number of vehicles, in the shortest time or distance possible. SWAT is the market share leader in pooling optimization technology in South East Asia and operates in countries like Singapore, Japan, The Philippines and Thailand. We are tackling some of the most challenging transport/logistics problems in the world’s most congested cities. Many large corporations from different industries such as shipping, logistics, airline, pharmaceutical, utilities, banking, property development and public transport use our technology to improve employee commute convenience and happiness and save costs. It’s also greener, more sustainable. Our customers are governments, public transport operators or large companies with challenging employee commute needs.

Come join our AI SaaS high growth tech startup if you also have the ambition to make a big impact in making the world move more sustainably. There is so much more we want to do and it will be a great place for you to learn and grow with the company.

Requirements:

• 3-5 years algorithms development experience.
• Good knowledge of algorithms, especially combinatorial optimization and graph theory.
• Experience in Python.
• Academic research experience in relevant fields.
• Strong interpersonal and communications skills.
• MSc/PhD Computer Science / Mathematics / Physics or equivalent.