Senior Staff Data Scientist [up to 30k]

Randstad MalaysiaKuala Lumpur, Kuala Lumpur, Malaysia

12 hours ago

Job description

Senior Staff Data Scientist

About the role

As a Senior Staff Data Scientist, you will lead the technical vision and roadmap for the company's next‑generation segmentation engine. You will drive architectural decisions, mentor senior data scientists, and ensure the delivery of scalable, high‑impact models. This is a hybrid leadership role : highly strategic, but still deeply hands‑on in model development, experimentation, and solution design.

About the job

Lead, mentor, and upskill a team of data scientists and analysts; set best practices and standards in modelling, experimentation, and MLOps.
Collaborate with product and engineering leadership to define the long‑term roadmap and ensure alignment with business goals.
Design, architect, build, and deploy large‑scale segmentation systems across multiple levels of granularity.
Develop and optimize advanced clustering, classification, and representation‑learning models using statistical and machine learning techniques.
Integrate and operationalise large, complex datasets—including census, geospatial, demographic, and unstructured data—to enrich segmentation workflows.
Build robust model pipelines in distributed environments (PySpark, Databricks) and ensure scalability, reproducibility, and reliability.

Knowledge, Skills, and Experience

8‑12+ years of experience in data science with at least 3‑4 years in a senior or lead role shaping analytical strategy or leading teams.

Expertise in segmentation systems, including unsupervised learning (K‑Means, clustering), dimensionality reduction (PCA, Factor Analysis), and ML models (GLM, tree‑based models, boosting).

Proficient in Python, SQL, and R, with advanced hands‑on experience in distributed data processing using PySpark, Databricks, or similar platforms.

Ability to work with diverse first‑party, third‑party, and large‑scale demographic datasets (e.g., Census data, area‑level data, unstructured sources).

Experience in MLOps, feature stores, or production ML pipeline design.

Background in geospatial modelling, representation learning, or scalable personalization engines.

Expertise in data visualisation using Tableau, Looker, Alteryx, or libraries like D3.js.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

Software Development, Technology, Information and Internet, and Technology, Information and Media

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Senior Data Scientist • Kuala Lumpur, Kuala Lumpur, Malaysia