Data Scientist

As a Senior Data Scientist, you will be at the forefront of our ML journey – building powerful, scalable models that target fraud, reduce losses, and drive revenue through smart recommendation systems. Your work directly influences key business outcomes and paves the way for our evolving AI capabilities.

Responsibilities

Research and Model Development

• Analyze business tasks and formulate ML problem statements together with product teams

• Exploratory Data Analysis: exploring insurance data, identifying patterns and insights

• Feature Engineering: creating features from raw data (transactions, policies, claims, behavioral data)

• Model Prototyping: rapid validation of hypotheses and MVP solutions

• A/B Testing: designing experiments to validate ML solutions

Production Development

• Model deployment to production: from Jupyter notebook to production API

• ML pipeline setup: automation of training, validation, and deployment

• Real-time inference: integrating models into business processes (underwriting, claims processing)

• Model monitoring: tracking performance, drift detection, alert systems

• Performance optimization: accelerating inference, scaling workloads

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Technical Skills

• Background with financial/insurance data is an advantage

• 5+ years of experience in ML/DS with a focus on product development

• Programming languages: Python (advanced level), SQL

• ML stack: scikit-learn, XGBoost, LightGBM, CatBoost, pandas, numpy

• Deep Learning: TensorFlow or PyTorch for NLP and recommendation systems

• MLOps: experience deploying models into production (Docker, CI/CD, monitoring)

• Big Data: PySpark or similar tools for large-scale datasets

• Git and collaborative development

Professional Competencies

• Feature Engineering: creating and selecting features for various types of data

• Model Validation: cross-validation, A/B testing, quality metrics

• Statistics: probability theory, hypothesis testing, confidence intervals

• Working with imbalanced data (critical for anti-fraud tasks)

• Time Series Analysis: forecasting and trend analysis

• Model interpretability: SHAP, LIME to explain results to business stakeholders

We offer

• Long-term service agreement contract with QIC with 3 months probation period

• We are diverse — our digital nomads work remotely from 20+ different countries

• Payment in US dollars monthly to your bank account using SWIFT

• Full-time remote, work schedule: 5 days per week, Sunday to Thursday, GMT +3 timezone

• Vacation policy: Qatar Holiday Calendar, 20 vacation days, 10 sick offs, and 3 mental health days

• Performance reviews are conducted twice a year, with the possibility of a raise

• Potential opportunity to apply for a Qatar ID and relocation to Doha, Qatar