Medical Analyst analyzing engagement effectiveness with advanced analytics solutions aligned with Medical business strategies. Collaborating with cross - functional teams to provide insights for US Medical Affairs.
About the role
- 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.)
- International working environment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
EU
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