Tuyển dụng Data Scientist Lead

Responsible for the full lifecycle of analytical and machine learning model development, leading and supporting the team while contributing hands-on across all phases, from ideation and experimentation to implementation, testing, deployment, and optimization.

Responsibilities

Lead and oversee the Data Science team across research, development, evaluation, fine-tuning, and deployment of ML and generative AI models, including statistical analysis, feature engineering, and hands-on contribution when needed

Guide the design, implementation, and optimization of robust data pipelines and ML system architectures in collaboration with Data Engineering, ensuring scalability for both real-time and batch use cases

Provide direction for creating analytical reports, dashboards, and model-driven visual insights to effectively communicate findings to business stakeholders

Establish and enforce MLOps and technical quality standards - including model versioning, reproducibility, observability, governance, ensuring the team consistently follows these standards and providing guidance to help them apply the practices effectively

Perform solution reviews, code reviews, and model validation to ensure consistent delivery quality

Lead technical discussions with the team and clients, provide effort estimations, deliver technical training

Support the PM with source-control and technical governance strategies

Qualifications

Technical Skills

5+ years of hands‑on experience in Data Science, ML, or Applied AI

Proficiency in Python (e.g., Pandas, NumPy, FastAPI)

Strong experience with SQL and working with relational and NoSQL databases

Good knowledge of big data technologies (e.g., Spark, Databricks, Delta Lake, Kafka)

Experience with at least one Cloud provider (e.g., Azure, AWS, or GCP)

Experience using data visualization / BI tools such as Power BI, Tableau, or open-source BI tools

Solid knowledge and hands-on experience with key machine learning algorithms such as classification, regression, clustering, time series forecasting, and anomaly detection using tools like Scikit-learn, PyTorch, and TensorFlow

Strong foundation in machine learning concepts and deep learning (e.g., CNNs, RNNs, Transformers)

Math & Statistical Knowledge

Strong foundation in probability, statistics, optimization, and linear algebra

Experience in designing experiments (e.g., A/B testing) and interpreting statistical significance

Ability to apply math-driven thinking to AI/ML model design

Domain Knowledge

Experience with one of the following domains such as media, banking, finance, healthcare, retail, manufacturing, or insurance

Ability to understand and interpret domain-specific business problems and translate them into data science solutions

English Requirements

Good communication skills in English, both written and verbal

Soft Skills

Strong problem-solving and critical thinking abilities

Ability to clearly communicate technical findings to non-technical stakeholders

Collaborative, agile mindset with a self-starter attitude

Comfortable working in fast-paced, cross-functional teams

Nice to have

Experience with ETL tools (Airflow, DBT, Azure Data Factory, or AWS Glue)

Experience with MLOps tools (e.g., MLflow, SageMaker, Azure ML, Vertex AI)

Generative AI Skills

Awareness or working knowledge of LLMs (e.g., GPT-4, Claude, LLaMA, Mistral)

Exposure to GenAI frameworks such as LangChain, LlamaIndex, or Hugging Face Transformers

Understanding of prompt engineering, embeddings, and concepts like RAG

Familiarity with GenAI use cases such as summarization, document analysis, chatbots, or code generation

Ability to integrate GenAI APIs (OpenAI, Azure OpenAI, Hugging Face) into applications

Yêu cầu công việc

Good communication skills in English, both written and verbal

Soft Skills

Strong problem-solving and critical thinking abilities

Ability to clearly communicate technical findings to non-technical stakeholders

Collaborative, agile mindset with a self-starter attitude

Comfortable working in fast-paced, cross-functional teams

Nice to have

Experience with ETL tools (Airflow, DBT, Azure Data Factory, or AWS Glue)

Experience with MLOps tools (e.g., MLflow, SageMaker, Azure ML, Vertex AI)

Generative AI Skills

Awareness or working knowledge of LLMs (e.g., GPT-4, Claude, LLaMA, Mistral)

Exposure to GenAI frameworks such as LangChain, LlamaIndex, or Hugging Face Transformers

Understanding of prompt engineering, embeddings, and concepts like RAG

Familiarity with GenAI use cases such as summarization, document analysis, chatbots, or code generation

Ability to integrate GenAI APIs (OpenAI, Azure OpenAI, Hugging Face) into applications

Why you'll love working here

See all benefits

Community Contribution

Participate in volunteering and community initiatives, making a positive impact on society.

Financial Rewards

Receive a competitive salary, including full pay during probation and performance-based bonuses.

Flexible Work Arrangements

Embrace a hybrid working mode and explore international assignments.

Healthcare

Enjoy our private healthcare offering which is adapted for your local market and ensures your peace of mind and wellbeing.

Professional Development

Access ongoing learning opportunities, including training, workshops, and certifications.

Recognitions

Celebrate achievements through a variety of recognition programs.

Wellness Initiatives

Enhance your physical and mental well-being with a variety of engagement events, sports clubs, and informative workshops.

Data Scientist Lead place

Da Nang - Vietnam, Ho Chi Minh - Vietnam

/ Hybrid work

Experienced school

Bachelor Degree, College Degree, Master Degree schedule

Full time calendar_today

Closing date: 31.08.2026

Share this job