Senior Data Scientist (AI & Data)

Data Scientist

Location: Tan Binh Dist

Level: Senior

Interview process: Technical InterviewHR Interview

About the Role

The Data Scientist for the AI and Data Team will play a pivotal role in processing and analyzing

large datasets, developing predictive models, and extracting actionable insights to drive business

decisions. This position involves working closely with data engineers, AI engineers, and software

developers to build and maintain robust data solutions that support our AI and data initiatives.

Job Requirements:

Data Processing & Management:

Design, develop, and maintain scalable data processing pipelines for handling large

datasets using both on-premise and cloud platforms (e.g., AWS).

Ensure data quality, consistency, and accuracy through rigorous validation and cleansing

processes.

Data Analysis & Insights:

Monitor and perform comprehensive data analysis to identify trends, patterns, and

correlations within large datasets.

Generate actionable insights and present findings to stakeholders through clear and concise

visualizations.

Model Development:

Develop, test, and deploy predictive models with (deep) machine learning algorithms using

frameworks such as TensorFlow, PyTorch, and Scikit-learn.

Continuously monitor and refine models to improve performance and accuracy.

Collaboration and Support:

Work closely with data engineers, AI engineers, and software developers to understand

data requirements and provide technical support.

Facilitate effective communication and collaboration within the AI and data teams and

other technical teams.

Security and Compliance:

Ensure the security and compliance of data handling and processing by implementing best

practices and adhering to regulatory requirements.

Conduct regular audits and assessments to identify and mitigate security vulnerabilities.

Continuous Improvement:

Stay updated with the latest industry trends and technologies related to data science and

AI.

Your skills & qualifications

Experience:

Minimum of 3-5 years of experience in data science, machine learning, or a similar role.

Proven experience in processing and analyzing large datasets.

Strong background in Python programming and data manipulation libraries (e.g., Pandas,

NumPy).

Skills:

Proficiency in machine learning frameworks and tools (e.g., TensorFlow, PyTorch,

Preferred Qualifications:

Experience in fraud detection, recommendation systems, and predicting customer

behavior.

Understanding of data engineering and MLOps methodologies.

Awareness of security best practices in data environments.

Proficiency with data visualization software (e.g., Tableau, Power BI).

Benefits

Competitive salary and performance-based bonuses.

12 annual leave days entitlement under the Vietnamese Labor Law.

Fully equipped with necessary equipment (MacBook) and more if requested

Free parking in the building.

Opportunity to build and lead your own team, shaping it to fit your vision and work style.

Office perks include snack, tea, and coffee.

Engaging and inclusive company culture.

Professional development opportunities and training.