Data Scientist

ABOUT CLIENT

Our client is a leading global digital agency, known for their innovative and award-winning work in design, technology, and marketing. With a talented team of experts, our client specializes in creating engaging digital experiences that drive results for their clients. They have a strong reputation for delivering exceptional and impactful solutions.

JOB DESCRIPTION

Formulate client business inquiries as analytical and modeling challenges, and choose appropriate methodologies.
Develop, verify, and implement predictive models like propensity, segmentation, churn, forecasting, and recommendation.
Plan and assess experiments, including A/B tests and incrementality studies, and communicate outcomes to varied audiences.
Devise and construct anticipatory applications, involving tool-utilizing agents, multi-step workflows, retrieval-augmented generation, and prompt design.
Create assessment frameworks for AI systems, comprising test sets, quality metrics, guardrails, and regression checks on model and agent behavior.
Utilize AI agents and automated workflows to enhance the efficiency of analysis, code development, and documentation processes, and verify their results.
Collaborate with Data Engineers to operationalize features, models, and agents on cloud platforms such as Google Cloud Platform (BigQuery, Vertex AI), AWS (SageMaker, Bedrock), and Databricks (Spark, MLflow).
Record methodologies, assumptions, limitations, and deliver findings to clients and internal leadership teams.

JOB REQUIREMENT

Requires at least one year of professional experience in data science, developing models or analyses for business use. Experience from internships, academic projects, competitions, and bootcamps will not be considered.
Must be proficient in Python with knowledge of pandas, scikit-learn, and one of PyTorch, TensorFlow, or XGBoost, along with strong SQL skills.
Should have a strong foundation in statistics, experiment design, and model assessment.
Previous experience in transitioning a model or analytical product from development to a production or client-facing setting is necessary.
Hands-on experience in LLM application development, including prompting, embeddings, retrieval, and expertise in an agent framework or API-based orchestration.
Familiarity with a cloud ML environment like GCP (BigQuery, Vertex AI), AWS (SageMaker, Bedrock), or Databricks (Spark, MLflow). Experience with multiple platforms would be advantageous.
Ability to effectively communicate technical findings to non-technical stakeholders.
A bachelor's degree in a quantitative field (Statistics, Computer Science, Mathematics, Engineering, or similar) or equivalent professional experience is required. An advanced degree is preferred. Proficiency in advanced English for cross-border collaborations is necessary.

WHAT'S ON OFFER

Competitive salary and benefits package available.
Encouraging the adoption of new technologies is ingrained in our company culture.
The position involves more than just coding, focusing on creating exceptional user experiences.
Recognized for fostering innovation and ranked among the top global workplaces.
Work structure: Hybrid model offering a mix of in-office and remote work options.
Flexible working hours to prioritize results rather than strict scheduling.
Employee health insurance provided.
Annual bonus equal to one month's salary.
Generous annual leave, with extra days off in December, July, and long weekends.
Supply of Mac devices for work-related tasks.
Additional perks like a well-stocked pantry with snacks.

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:

Data Science, Python, LLM/RAG, Cloud

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Job ID:

J02316

Status:

Active

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