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
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Data Scientist Lead place
Da Nang - Vietnam, Ho Chi Minh - Vietnam
/ Hybrid tag
Software Development calendar_today
Closing date: 31.08.2026
Da Nang - Vietnam, Ho Chi Minh - Vietnam / Hybrid
Experienced
Experienced
Bachelor Degree, College Degree, Master Degree
31.08.2026
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