About Us
Swvl is a global provider of transformative tech-enabled mass transit solutions that enhance mass transit safety, reliability, and convenience in some of the world’s most challenging and complex emerging markets. Swvl is uniquely positioned to capitalize on the $1tn global mass transit market opportunity with daily commuting, inter-city travel, TaaS, and SaaS transportation solutions. Swvl currently operates in 115 cities in 18 countries across Latin America, Europe, Africa, and Asia. The differentiated proprietary technology stack features dynamic routing of high capacity vehicles allowing unprecedented vehicle utilization and earnings levels for drivers and massively reduced walk to station distances and prices for riders.
About the Role
We are looking for driven individuals to work in a data-driven operations and experience team, helping impact the user and captain experience. In this role, you will have the opportunity to drive the company’s vision of building state of the art automated and scalable internal processes that drive internal efficiency and provide quality customer and captain experience. The role is inherently cross-functional: You will work closely
with a high-energy team consisting of product, data analytics, growth, marketplace, customer service, and other stakeholders in the cities. This role is a good fit for someone who is creative yet highly data-driven and who has strong customer focus and ‘ops sense’, combined with an established track record in building models and tools that solve operational problems through automation
What You’ll Do
● Work with stakeholders throughout the organization and across entities to identify opportunities for leveraging internal and external data to drive business impact
● Define and implement our supply, marketplace and experience analysis, data science methodology and roadmap
● Predict customer and captain behavior and business conditions through machine
learning and predictive modeling. Mine and analyze data to improve and optimize performance, capture meaningful insights and turn them into business advantages.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to predict outcomes and identify key drivers.
● Develop A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy
● Use statistical and predictive techniques to build models for optimizing products and improving user experience
What You’ll Need
● Bachelor’s degree in STEM (Science, Technology, Engineering, Mathematics), or Economics. Advanced degree in related topic is a strong plus
● Experience in statistical modelling / machine learning, applying these methods to solve operations problems.
● Strong strategic aptitude; ability to define and measure success of a process or feature based on behavior analysis on large data sets
● Working knowledge developing and implementing statistical/ML models (i.e., both supervised and unsupervised) using industry standard tools (e.g., R, Python)
● Advanced working knowledge of SQL language, and experience with visualization tools like Looker, Tableau.
● Strong presentation and communication skills with the ability to explain complex analytical concepts to people from other fields
● Fluency in English
https://boards.eu.greenhouse.io/swvl/jobs/4039601101?gh_src=f338df42teu
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