: LisbonAt SWVL (Full-time), in Lisbon, PortugalExpires at: -12-03About UsSWVL is the leading high technology company on the mass transportation market. We are a fast growing data driven company which is disrupting the public transportation market in Egypt (and abroad) making people's lives better in their daily basis. started with an observation turning into a realization, too many cars on the streets, wasting our limited resources: time, Importante Azienda and money.We had to question why we depend so much on our cars and what are the consequent pains of moving around the city Rush hours, traffic,
terrible driving habits and unavailability of parking spots came rushing through our minds in addition to the pain of high cost of on-demand services.While an affordable decent public commuting solution is not accessible, we thought how can we improve people's lives And here Swvl was created, revolutionizing the transportation scene in Egypt, through providing a technology-based alternative to public transportation, a smart solution that solves the transportation equation, leading to helping more commute for less, with ease and comfort.Swvl is a revolutionary idea that was born from passion, loyalty, and persistence to face all challenges on the table, Swvl is not just a mean to facilitate commuting, but a hunger to strive for solutions, encourage the contribution of youth in innovation and inspire change.Responsibilities and Duties:Apply academic research to Swvl's different problems.Design and implement creative proofs of concepts (PoCs).Work with complex mathematical models and use graph, search, computational geometry or machine-learning algorithms.Solve optimization problems using techniques like metaheuristics, linear programming, constraint programming, etc.Analyze data, extract meaningful insights and draw conclusions.Conduct complete experimentation and evaluation of research outcomes and proposed solutions.Identify and formulate Swvl's short-term and long-term problems.Contribute directly to Swvl's products from the business needs to the final delivery.Mentor, support and develop R&D engineers.Grow and shape the R&D team by recruiting and training R&D engineers as needed.
Main requirementsQualifications:Strong problem-solving and analytical skillsStrong knowledge of advanced algorithms and optimization theorySufficient background in data science: data analysis, machine-learning methods, statistical modeling and testingEducational background:MSc. in Computer Science, Engineering or a relevant field.PhD. is a plus.Professional Experience:3+ years of applied experience in an industry environment or relevant academicresearch
Nice to have
PerksWhat We OfferGreat opportunity to be part of a start-up with a lot of responsibility and independence early on and where you will have an impact on the entire business.A strong social and collaborative culture, where your input is not just respected, 'sexpected.
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