Data Scientist designing and deploying ML models for anti-fraud solutions at GeoComply. Collaborating with cross-functional teams to enhance cybersecurity and geolocation verification.
Responsibilities
Design, develop, and deploy machine learning models that power our anti-fraud and geolocation verification systems.
Work at the intersection of data science, fraud detection, and cybersecurity, building intelligent solutions that protect millions of users from sophisticated threats.
Collaborate closely with data analysts, engineers, and product teams.
Translate complex fraud patterns into predictive models, optimize detection algorithms, and contribute to the evolution of our ML-driven security platform.
Apply cutting-edge machine learning techniques to real-world, high-impact problems.
Requirements
Bachelor's degree or higher in Computer Science, Statistics, Mathematics, Physics, Machine Learning, or a related quantitative field. Master's degree preferred.
3-5 years of experience in data science, machine learning, or related roles with proven experience building and deploying ML models in production environments.
Strong programming skills in Python with extensive experience in ML libraries (Scikit-learn, XGBoost, LightGBM, etc.) and data manipulation tools (Pandas, NumPy).
Solid understanding of machine learning algorithms including classification, regression, clustering, anomaly detection, and time series analysis.
Proficient in SQL with ability to write complex queries for data extraction and feature engineering.
Experience with model evaluation metrics, cross-validation techniques, and handling imbalanced datasets.
Strong foundation in statistics, probability theory, and experimental design.
Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly) for exploratory data analysis and model interpretation.
Experience with version control (Git) and collaborative development practices.
Experience with Databricks, Spark, or other distributed computing platforms is highly desirable.
Proficiency with terminal commands and SSH for remote server management is highly desirable.
Strong problem-solving skills with ability to work independently on complex, ambiguous problems.
Excellent communication skills with ability to explain technical concepts to non-technical stakeholders.
Benefits
Hybrid working mode & Modern office at a prime location in District 1
Professional development budget to support your growth
20 annual leave days, 5 sick leave days
Premium health insurance (Bao Viet or Liberty)
Social, unemployment, and health insurance contributions based on full salary
Competitive salary package, 100% salary during the probation period
Attractive bonuses (13th month, business performance, equity plans)
Annual salary performance review
Free parking
Annual company trip & Year-end party
Quarterly team-building activities
In-office snacks and drinks (snacks, coffee, juice, milk, etc.)
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