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3 months ago
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Requirements and responsibilities
About YassirYassir 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 stand for: Ambition, Transparency & Trust, Quality, Performance. We are growing fast—fast.By.About the RoleYassir is seeking a highly skilled and motivated Data Scientist to join our Artificial Intelligence (AI) team and contribute to key projects, such as Personalization and Recommendation Engines. As a Data Scientist, you will analyze and model data to optimize our Machine Learning (ML) systems. Your expertise in predictive modelling and software development will be essential in driving our solutions and providing value to Yassir.About the TeamThe AI team is part of Yassir’s central Data & AI domain, responsible for all data related activities in the organization—from Data Engineering, Data Platform management and Data Analytics to AI solutions and MLOps infrastructure development. The team is global and includes Data and AI/ML experts with diverse backgrounds. They work to build state-of-the-art Data and ML infrastructure and solutions, supported by a Data Culture with responsible and democratized data access, data-driven decision making, and automation.Key ResponsibilitiesBecome an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it.Focus on Personalization and Recommendation Engines capabilities.Identify and propose ML opportunities related to your scope and beyond.Support 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 models, and visualize analysis/modelling results focusing on meaningful, actionable metrics and insights.Deploy and test ML applications using our MLOps infrastructure.Monitor ML models on technical performance, business impact, and underlying data/concept drift.Explain technical solutions in a business-friendly manner, supporting Product teams in communications and reporting.Maintain and improve technical documentation of delivered solutions.Support the Data & AI domain in developing its technical capabilities, improving ways of working, and collaborating with dependent teams.Champion Data Culture: proactively share knowledge across teams and participate and drive team building activities.Key RequirementsSolid Mathematical / Statistical / Machine Learning and Software Development technical skills, supported by a Masters degree or above in a relevant quantitative field (Mathematics, Statistics, Data Science, Machine Learning, Computer Science, Software Engineering).Comfortable with production-quality Python and SQL coding in a professional setting with at least 3 years of industry experience.Comfortable with key software engineering concepts: 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 modeling 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 (Yassir uses Google Cloud Platform (GCP); experience 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 relationship building.Internal drive, self-motivation, and ability to work independently with effective project management.Nice to haveExperience with Delivery, Mobility, or Financial Services companies.Experience working on ML features for Digital Products (apps, websites).AI hiring process disclosureYassir may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications, analyzing resumes, or assessing responses. These tools assist the recruitment team but do not replace human judgment. Final hiring decisions are made by humans.
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