Senior Data Scientist

Senior Data Scientist

About the company

• We are a creative growth accelerator made up of creatives, designers, technologists, strategists, and data scientists. We work with ambitious, world class clients who are as committed to shaping culture and defining the future as we are. We currently have more than 1000 employees working globally across North America, Latin America, Europe, and Asia
• Location: Ho Chi Minh City, Vietnam (Hybrid Working Model)
• Working time: 8AM - 5PM | Mon - Fri
• Must-have: Good English communication skills

About Technology

• Powered by a global practice of creative technologists, spanning Engineers, QA specialists, Business Analysts, Data Scientists and ML Architects. We combine deep engineering rigor with innovation at the edge of agentic AI, modern data stacks and cloud infrastructure. We engineer the intelligent systems that turn audacious strategic vision into production-ready reality.

The role

• Our client is looking for a Data Scientist to join our Data practice. You will develop statistical and machine learning solutions for enterprise clients, covering audience and customer analytics, personalization, measurement, and forecasting. You will also build and evaluate LLM-based and agentic applications, from single-agent tools to multi-step workflows. You will work with Data Engineers, Strategists and Designers to move models and agents from analysis into production use.

What you’ll do

• Frame client business questions as analytical and modeling problems, and select appropriate methods.
• Build, validate, and deploy predictive models such as propensity, segmentation, churn, forecasting, and recommendation.
• Design and analyze experiments, including A/B tests and incrementality studies, and report results to technical and non-technical audiences.
• Design and build agentic applications, including tool-using agents, multi-step workflows, retrieval-augmented generation, and prompt design.
• Build evaluation frameworks for AI systems, including test sets, quality metrics, guardrails and regression checks on model and agent behavior.
• Use AI agents and automated workflows to speed up analysis, code development and documentation, and validate their output.
• Work with Data Engineers to productionize features, models, and agents on Google Cloud Platform (BigQuery, Vertex AI), AWS (SageMaker, Bedrock), and Databricks (Spark, MLflow).
• Document methods, assumptions, and limitations, and present findings to clients and internal leadership.

What we’d like to see

• At least 5 years experience of professional data science experience delivering models or analyses used in business decisions. Internships, academic projects, competition entries, and bootcamp work do not count toward this requirement.
• Proficiency in Python (pandas, scikit-learn, and one of PyTorch, TensorFlow or XGBoost) and and strong SQL (Colab/Jupyter with pandas, NumPy and scikit-learn).
• Solid grounding in statistics, experiment design, and model evaluation.
• Experience taking at least one model or analytical product from development into a production or client-facing environment.
• Hands-on experience with LLM and agentic application skills, application development, including prompting, embeddings, retrieval, and an agent framework or API-based orchestration.
• Experience with a cloud ML environment such as GCP (BigQuery, Vertex AI), AWS (SageMaker, Bedrock), or Databricks (Spark, MLflow). Experience on more than one platform is a plus.
• Ability to communicate technical results clearly to business stakeholders.
• Bachelor's degree in a quantitative field (Statistics, Computer Science, Mathematics, Engineering, or similar) or equivalent professional experience. An advanced degree is a plus. Advanced English proficiency for global collaboration.

Why Join Us

• Hybrid working model.
• Opportunity to work directly with international clients and distributed global teams.
• Exposure to large-scale digital transformation projects.
• Collaborative and engineering-driven culture.
• Continuous learning and professional growth opportunities.
• Competitive compensation and benefits package.

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Email: thuy.ha@helius-tech.com

Hotline: 0969.20.30.42