Lead Data Scientist

This is a fully remote position, open to applicants in Egypt.

📋 Description

• Develop the data science department from a single member to a full-fledged team, encompassing its mission, recruitment, and modeling standards.

• Take ownership of fraud detection as a product, which includes transaction and payment risk assessment, chargeback and refund abuse monitoring, account takeover prevention, promotional abuse identification, and anomaly detection for agents and merchants.

• Establish fraud thresholds in collaboration with fraud and operations teams, while justifying the balance between loss and friction.

• Manage identity management modeling, focusing on identity resolution, record linkage, deduplication, match confidence, profile completeness scoring, and unified customer profiles.

• Lead initiatives for next-best-action and segmentation to enhance personalized customer engagement.

• Implement and sustain models in production with the assistance of cloud and MLOps teams, covering aspects such as monitoring, drift detection, retraining, rollback, and quantifiable business results.

• Oversee demand and stock forecasting, predictive budgeting, category and SKU-level targets, as well as churn and lifetime value models.

• Direct experiment design across product and marketing realms, including formulating hypotheses, determining minimum detectable effects, establishing decision rules, and conducting readouts.

• Define operational boundaries with data engineering and analytics teams.

• Equip stakeholders with decision-making frameworks supported by validated metrics instead of relying solely on notebooks.

⛳️ Requirements

• Over 7 years of experience in data science.

• More than 2 years of experience in leading or mentoring data scientists.

• Experience as the initial or secondary data scientist is highly regarded.

• Proven track record of models in production with real-time traffic, monitoring, and quantifiable impacts.

• In-depth knowledge of fraud or risk modeling.

• Familiarity with at least one area including: identity resolution and entity matching, forecasting, churn and lifetime value modeling, personalization, uplift modeling, or causal inference.

• Proficient in SQL for handling large transaction and event data within a columnar warehouse.

• Strong programming skills in Python.

• Capability to produce maintainable, executable code.

• A rigorous approach to experimental and causal analysis, including quasi-experimental methods when randomization is impractical.

• Knowledge of consumer fintech or payments, encompassing transactions, funnels, cohorts, and fraud detection patterns.

• Ability to unify product, engineering, marketing, and commercial stakeholders around a common problem definition.

• Experience with AI-assisted workflows, including the skill to elucidate all delivered outputs.

🏝️ Benefits

• Immediate, large-scale impact on a rapidly growing business.

• Competitive compensation packages at the top end of the market.

• Opportunity to collaborate with leading regional talent, including team members from Talabat, Careem, Etisalat, and others.