Data Scientist Lead

ABOUT CLIENT

Our client is a leading technology company known for its innovative solutions and commitment to customer satisfaction

JOB DESCRIPTION

Creating robust ETL/ELT data pipelines for structured and unstructured data
Developing interactive dashboards and visualizations for effective communication of insights
Evaluating, deploying, and evaluating machine learning and/or generative AI models
Applying statistical analysis and mathematical modeling to extract insights from complex datasets
Working with various teams to deliver data-driven solutions
Creating and maintaining scalable ML pipelines and APIs for real-time and batch inference
Ensuring best practices in model versioning, reproducibility, observability, and governance (MLOps)
Staying updated with AI/ML trends and contributing to projects involving semantic search, knowledge graphs, or retrieval-augmented generation as necessary.

JOB REQUIREMENT

Proficient in Python including Pandas, NumPy, and FastAPI
Strong experience with SQL and working with relational and NoSQL databases
Familiarity with big data technologies such as Spark, Databricks, Delta Lake, and Kafka
Experience with cloud data platforms including Databricks, Microsoft Fabric, Amazon Redshift, Google BigQuery, and Snowflake
Skilled in report modeling and building dashboards with BI tools such as Power BI, Tableau, or Looker
Experience with ETL tools like Airflow, DBT, Azure Data Factory, AWS Glue, and SSIS
Solid knowledge and hands-on experience with building training and inferencing pipeline using machine learning algorithms
Good foundation in machine learning concepts and deep learning
Strong foundation in probability, statistics, optimization, and linear algebra
Experience in designing experiments and interpreting statistical significance
Ability to apply math-driven thinking to AI/ML model design
Experience in various 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
Good communication skills in English, both written and verbal
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
Experience with MLOps tools like MLflow, SageMaker, Azure ML, Vertex AI
Awareness or working knowledge of LLMs
Exposure to GenAI frameworks such as LangChain, Semantic Kernel, or Autogen
Understanding of prompt engineering, embeddings, and concepts like RAG, GraphRAG, Agentic AI
Familiarity with GenAI use cases such as building AI agents, chatbots, MCP
Ability to integrate GenAI APIs into applications

WHAT'S ON OFFER

13-month salary annually
Performance-based bonus
Hybrid work arrangement
Fully-covered Social and Health Insurance
Annual health check-up and Premium Health Insurance
14 days of annual leave
Available training courses for technical skills, soft skills, and English language proficiency

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:

Outsource

Technical Skills:

Machine Learning, Data Engineering, Cloud, Management

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Job ID:

J02034

Status:

Close

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