Data Scientist, Fraud
Yassir
full-time
Posted on:
Location Type: Hybrid
Location: Cairo • Egypt
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Tech Stack
About the role
- 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 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 models
- Visualize 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
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 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 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.
Benefits
- Ambition, Transparency & Trust
- Quality
- Performance
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Machine LearningStatistical AnalysisPythonSQLData AnalysisFeature EngineeringModel ValidationData VisualizationMLOpsCloud Solutions
Soft skills
Analytical ThinkingProblem SolvingCommunicationTeam BuildingInterpersonal SkillsSelf-MotivationProject ManagementEmpathyActive ListeningResilience
Certifications
Masters in MathematicsMasters in StatisticsMasters in Data ScienceMasters in Machine LearningMasters in Computer ScienceMasters in Software Engineering