Data Scientist (Personalization) at Yassir in Cairo, Cairo, EG

About Yassir Yassir is the Super App designed to make your life easier. Yassir’s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency & Trust, Quality, Performance. And we are growing fast - super fast.By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa.

About the Role

Yassir is seeking a highly skilled and motivated Data Scientist to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Personalization and Recommendation Engines. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems.

About the Team

The AI team is part of Yassir’s central Data & AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!

Key Responsibilities

Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it.

We aim for this role to focus on Personalization and Recommendation Engines capabilities.

Identify and propose ML opportunities related to your scope and beyond

Support with requirements definition and prioritization of ML projects

Collaborate with cross-functional Engineering and Product teams

Champion Data Quality as a critical input component to all ML solutions and Analytics

Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering

Utilize Statistical and ML techniques, as appropriate, for model training

Validate and tune ML modelsVisualize analysis / modelling results focusing on meaningful, actionable metrics and insights

Deploy and test ML applications using our MLOps infrastructure

Monitor ML models on their technical performance, business impact and underlying data / concept drift

Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting

Maintain and improve technical documentation of delivered solutions

Support the Data & AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams

Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities

Key Requirements

Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Computer Science, Software Engineering

Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 3 years of industry experience

Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices.

Prior experience with Personalisation and Evaluation related problems and/or modelling techniques

Comfortable with key Statistical concepts, such as statistical testing and causal analysis

Analytical thinking and problem solving skills

Engineering mindset focused towards delivering robust applied data science solutions

Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling

Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred

Mastering of the end-to-end (ML) model development lifecycle

Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English

Positive attitude and resilience

Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building

Internal drive, self-motivation and ability to work independently including own effective project management

Nice to have

Experience with Delivery, Mobility or Financial Services companies

Experience working on ML features for Digital Products (apps, websites)