Data Scientist at Capital One leveraging machine learning models for credit underwriting decisions. Partnering with data scientists, engineers, and product managers using advanced technologies.
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
Data Scientist Analyst at BBVA transforming complex data into strategic solutions using machine learning. Collaborating within Banking Ops team to improve operational efficiency and customer experience.
Data Scientist leading key analytical projects at BBVA AI Factory in Madrid. Collaborate with multidisciplinary teams to drive data - driven solutions for banking processes.
Senior Data Scientist focusing on developing generative AI solutions for financial applications at BBVA. Involved in evaluating models, developing analytical solutions, and iterative experimentation processes.
Data Scientist specialized in Machine Learning and Generative AI at BBVA AI Factory. Collaborating with experts to deliver innovative AI solutions for the banking industry.
Data Scientist at BBVA AI Factory focusing on AI solutions in finance. Collaborate to develop AI - driven customer relationship models and analytics to enhance banking processes.
Data Assessor employing machine learning methods to enhance business relationships. Focused on deriving insights and applying data science principles to improve user experience.
Data Science Specialist leading predictive modeling initiatives to support product innovation at Nestlé Nutrition. Collaborating with cross - functional teams to translate complex data into actionable insights.
BI & Visualization Developer at Conduent working on advanced visualizations and supporting analytics solutions. Collaborating with cross - functional teams and mentoring associates in a hybrid environment.
Lead Data Scientist providing data science expertise and technical leadership for Caterpillar aftermarket parts forecasting. Managing complex analytics processes and ensuring accurate insights generation for critical business decisions.