Data Scientist

Company Overview

CAFU has a vision to create a better world through connected mobility, serving both consumers and businesses. We started as an on-demand fuel delivery app and have now extended our services to car wash, tyre change, battery change and insurance...but this is only the beginning.

We have global plans to become a super app, offering products & services which are agnostic of fuel and mobility. Cafu is a technology business passionate about sustainability and positively impacting the communities we operate in. We’ve already won awards for best AI platform and voted LinkedIn’s Number 1 Top Start-ups 2021!

If you want to make a real impact to our communities and you are forever curious about how things work and why and want to join a company that moves with purpose and collaborates, then we want to hear from you!

Key Responsibilities

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

• 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 increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

• Develop company 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.

Requirements

• 4 years of experience in Data Science
• Degree in Data Science / Mathematics / Statistics / Computer Science
• Proficient in writing and executing complex queries in SQL
• Experience using statistical computer languages (Python / R)
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Excellent analytical skills with strong attention to detail
• Strong presentation skills to easily communicate complex ideas in a way that is easy to understand
• Problem solving skills

Benefits

• A collaborative environment where diversity is celebrated
• A flexible workforce
• A competitive market salary with housing and transport allowances
• A fast-moving supportive company where everybody takes ownership over their work
• The opportunity to share in the success of the business with stock options for qualifying employees
• The opportunity to work on a product with growing global appeal
• The opportunity to work with some of the most talented people in the industry from well-known digital brands