Mid/Senior Data Scientist (Fraud)

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 Fraud Detection and Trip Dispatching. 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 Fraud Detection and Revenue Leakage Prevention capabilities.Identify and propose ML opportunities related to your scope and beyondSupport with requirements definition and prioritization of ML projectsCollaborate with cross-functional Engineering and Product teamsChampion Data Quality as a critical input component to all ML solutions and AnalyticsConduct Exploratory Data Analysis and subsequent Feature Selection / EngineeringUtilize Statistical and ML techniques, as appropriate, for model trainingValidate and tune ML modelsVisualize analysis / modelling results focusing on meaningful, actionable metrics and insightsDeploy and test ML applications using our MLOps infrastructureMonitor ML models on their technical performance, business impact and underlying data / concept driftExplain technical solutions in a business-friendly manner, supporting Product teams in their communications and reportingMaintain and improve technical documentation of delivered solutionsSupport the Data & AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teamsChampion Data Culture, proactively share knowledge across teams, and participate and drive team building activities

Key Requirements (Essential)

• 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 experienceComfortable 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 Fraud / Risk related problems and/or modelling techniques
• Comfortable with key Statistical concepts, such as statistical testing and causal analysis
• Analytical thinking and problem solving skillsEngineering 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 preferredMastering 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 resilienceStrong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships buildingInternal drive, self-motivation and ability to work independently including own effective project management

Nice to have:

• Experience with On-demand, Mobility or Financial Services companies
• Experience working on ML features for Digital Products (apps, websites)