Senior Data Scientist (Anti-spoofing ML)

ABOUT CLIENT

Our client is working on global products, revolutionizing how people and businesses use the internet to instill confidence in every online interaction

JOB DESCRIPTION

Research various methods to analyze multidimensional data and implement advanced machine learning models to identify location spoofing patterns within large datasets.
Create strong pipelines for features and monitoring dashboards to quickly identify deviations in model performance.
Utilize machine learning signals from different products to generate composite risk scores and intelligence at the network level.
Stay updated on the latest fraud patterns and develop expertise in advanced techniques such as graph neural networks, time-series anomaly detection, and LLM.
Take the lead in setting goals, assigning tasks, and ensuring timely completion of projects.
Mentor and assess the work of Data Scientists/Analysts and promote best practices in code review, experimentation, and documentation.
Collaborate closely with engineering managers, data engineers, and other stakeholders to refine requirements, integrate the model into the ML platform, and make a measurable impact.
Interpret model outputs into clear narratives and recommendations through comprehensive reports and presentations for the team.
Document data science workflows, model development, and deployment methodologies, as well as best practices for internal reference and regulatory compliance.
Remain flexible and assist with various projects and initiatives as required in a dynamic environment.

JOB REQUIREMENT

A strong background in machine learning, with expertise in supervised and unsupervised learning techniques, deep learning, and anomaly detection algorithms, cultivated over 5+ years.
Proficient in implementing and fine-tuning machine learning models to ensure accuracy and reliability in fraud detection tasks.
Skilled at analyzing large complex datasets to extract meaningful insights and identify patterns indicating fraudulent behavior, utilizing techniques such as exploratory data analysis, feature engineering, and statistical analysis.
Proficiency in Python and data science-related libraries such as scikit-learn, TensorFlow, PyTorch, pandas, NumPy.
Experience working with cloud platforms, especially Databricks.
Proven track record of designing and automating scalable data processing pipelines and infrastructure.
Effective communication skills and experience collaborating with cross-functional teams, including data scientists, software engineers, and business stakeholders.
Proficient at solving technical challenges related to deploying and managing machine learning models in production, with a focus on troubleshooting, performance optimization, and ensuring system robustness and reliability.
Demonstrated leadership potential through mentoring, leading technical initiatives, and driving innovation within the organization.
Publications or research experience in fraud detection or anomaly detection.
Prior experience in fraud detection.
A PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field of study.

WHAT'S ON OFFER

Learning opportunities and personal development support
Comprehensive health insurance coverage
Competitive compensation package
Lucrative bonuses including 13th month, business performance, and share appreciation rights
Annual salary performance review
Flexibility with hybrid working arrangements and contemporary office in a prime location
Annual company trip and year-end celebration
Regular team-building activities
Access to in-office snacks and beverages
International workplace atmosphere
Weekly in-office yoga classes

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Data Science

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J01782

Status:

Close

Related Job:

Senior SAP FI Consultant

Ho Chi Minh - Viet Nam

outsourcing, Germany company

  • SAP

Lead a team of Finance specialists onsite and assist in configuring the solution (must have hands-on configuration experience). Provides guidance in the definition of solution design practices and standards that link back to SAP best practices. Understand the customer business processes and the IT landscape rapidly and able to foresee the likely challenges Ability to lead and facilitate design workshops (Blueprint), assessments, planning sessions. Work with customer business teams & project teams effectively Translates business goals into appropriate solutions while assessing feasibility and optimization of the solution. Conduct work effort estimation and develop work plans. Develops and maintains working relationships with a diverse group of business, functional and technical teams. Adhere to project plans, tasks, and deliverable; identifies dependencies and resource requirements.

Negotiation

View details

Senior Product Manager

Ho Chi Minh, Ha Noi - Viet Nam

No.1 Construction Tech company in Japan

  • Product Management

#The Opportunity: As the promoter of product development projects at the company, you will gain experience in project management and development direction, working with the business department from project definition to requirements definition, development, testing, and release. In the future, you will be responsible for product management of the company's products.#Job Scope: This is an important position that involves understanding the characteristics of users of the service and driving product development projects while balancing the needs of product, sales, customer success, and engineers. #Product Management: Define the scope, objectives, and goals of product development. Build the product structure and process, create and promote schedules. #Development Direction: Working with product managers to organize requirements, design business processes, and define requirements. Creating and executing test and release plans. Creating explanatory materials for internal/customer use. Verifying post-release effectiveness and reporting. Create and maintain comprehensive product documentation #Development Environment: Backend: Ruby on Rails, Go, AWS, Elasticsearch, MySQL, DynamoDB, Redis, Terraform (IaC), OIDC (Authentication). Frontend: Next.js/React.js, Typescript, Vue.js/Nuxt.js. Mobile App: Kotlin, Swift, Flutter. CI/CD & DevOps: Docker, Kubernetes, CodePipeline, CodeBuild, CircleCI, GitHub Actions. Monitoring & Tools: Datadog, Sentry, Bugsnag, Swagger, ZenHub, Figma

Negotiation

View details

Senior/ Lead Data Engineer (Data Platform / MLOps)

Ho Chi Minh, Ha Noi - Viet Nam

Information Technology & Services

You will be responsible for managing, designing, and enhancing data systems and workflows that drive key business decisions. The role is focused 75% on data engineering, involving the construction and optimization of data pipelines and architectures, and 25% on supporting data science initiatives through collaboration with data science teams for machine learning workflows and advanced analytics. You will leverage technologies like Python, Airflow, Kubernetes, and AWS to deliver high-quality data solutions. Architect, develop, and maintain scalable data infrastructure, including data lakes, pipelines, and metadata repositories, ensuring the timely and accurate delivery of data to stakeholders. Work closely with data scientists to build and support data models, integrate data sources, and support machine learning workflows and experimentation environments. Develop and optimize large-scale, batch, and real-time data processing systems to enhance operational efficiency and meet business objectives. Leverage Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services such as S3, Glue, EC2, and Lambda to manage data storage and compute resources, ensuring high performance, scalability, and cost-efficiency. Implement robust testing and validation procedures to ensure the reliability, accuracy, and security of data processing workflows. Stay informed of industry best practices and emerging technologies in both data engineering and data science to propose optimizations and innovative solutions.

Negotiation

View details