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About Yassir

Yassir is the leading super App for on demand, ride-hailing, last-mile delivery, payment services and more, set to change the way daily services are provided. It currently operates in 45 cities across multiple countries. It has raised $150 million in Series B funding, five times what it raised in its previous priced round last November with world class investors such as BOND and Y Combinator, which is the precursor of the likes of Airbnb, Stripe, Dropbox, Doordash, among others. 

We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.

We are seeking an Operational Research Engineer to join our team at Yassir to work closely with

our ML and Data science teams on the next generation of our dispatch and Dynamic surge

systems.

The successful candidate will be responsible for developing and maintaining our dynamic surge

and dispatch systems, ensuring that they are optimized to deliver the best possible experience to

our customers and drivers.

Key Responsibilities

• Develop and implement models and algorithms for predicting demand patterns and driver availability in real-time, using statistical analysis and machine learning techniques.
• Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to design, implement, and improve the surge and dispatch systems.
• Analyze and interpret data to identify opportunities for improving the efficiency and effectiveness of the pricing and dispatch systems, and develop and execute experiments to test hypotheses.
• Build and maintain tools and dashboards to monitor system performance and identify issues proactively, and work with other teams to resolve any problems that arise.
• Stay up-to-date with the latest research and industry developments in operational research and transportation, and apply best practices and innovative solutions to improve the surge and dispatch systems

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Operations Research, or a related field. (PhD in Operational Research is a big plus)
• Strong experience in developing and deploying predictive models and algorithms in a production environment, using languages such as Python or R.
• Experience with optimization and simulation techniques, including linear programming, integer programming, and Monte Carlo simulation.
• Excellent problem-solving and analytical skills, with the ability to derive insights from complex data and communicate them effectively to different stakeholders.
• Knowledge of transportation and logistics concepts and their application to operational research problems is a plus.
• Experience with big data platforms such as Hadoop and Spark is a plus.

At Yassir, we value diversity and encourage candidates from all backgrounds to apply. If you are

passionate about using operational research to improve the performance of transportation

systems, and want to work on challenging problems with a team of talented and motivated

individuals, we would love to hear from you.

*As a company, we are passionate about diversity and inclusion, 40% of our team are women leaders in the tech sector. Research shows that women do not apply for jobs if they do not meet all of the requirements. We would like to hear from you if you feel you would be a good fit for us!

Do you want to become part of our first-class team? Then you absolutely have to send us your application. 🚀

PS: And if you want to stand out in your application, just let us know in your cover letter why we should have in our team. 💡

Diversity & Inclusion & Engagement: 

We celebrate diversity and are committed to creating an inclusive environment for all employees, as we believe diverse teams are more successful in the long term. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, and we encourage all people equally to apply for jobs with us.