Senior Data Scientist

Overview

EX-Shopee| Talent Acquisition Specialist | FMCG at dentsu Malaysia Dentsu is a global leader in integrated growth and transformation, driving sustainable solutions and innovation for some of the world’s most influential brands. With a presence in approximately 120 countries and a team of about 68,000 employees, dentsu collaborates across brands to deliver integrated growth solutions that create lasting, meaningful impact. We are focused on Innovating to impact—fostering collaboration, creativity, and cutting-edge technology to drive real, transformative change.

What your typical day will look like

As the Senior Data Scientist, you will lead design, development, and deployment of advanced data science solutions to drive business outcomes. You will apply statistical modelling, machine learning, and marketing analytics to deliver insights across multiple domains while contributing to the team’s advancement in emerging technologies such as Generative AI, automation, and scalable ML infrastructure.

Responsibilities

Model Development & Deployment :

Design and operationalise machine learning models (e.g., churn prediction, segmentation, LTV scoring, recommender systems) using supervised / unsupervised learning, SQL, and cloud technologies (e.g., BigQuery, containerisation, CI / CD). Advanced Analytics & AI Applications :

Apply causal and game-theoretic techniques (e.g., Shapley values) for marketing attribution, and explore generative AI (e.g., LLMs) to enhance analytics workflows and automate insight generation. Stakeholder Collaboration & Insight Delivery :

Translate complex model results into actionable business insights for marketing, commercial, and product teams. Lead discussions, gather requirements, and communicate outcomes effectively. Technical Excellence & Mentorship :

Maintain production-ready codebases, ensure responsible AI practices, and guide junior data scientists on best practices in modelling, exploratory data analysis, and statistical methods.

A bit about you

Possess a Bachelor’s or Master’s in Data Science, Statistics, Computer Science, or related fields, with 5+ years of applied data science experience using Python, R, SQL, and Google Cloud (BigQuery, Cloud SQL). Strong foundation in regression, forecasting, probabilistic programming (e.g., Robyn, PyMC), and model interpretability techniques (e.g., Shapley values), with practical experience in building ML models for real business impact. Experience or interest in LLMs (e.g., OpenAI, Vertex AI), attribution modelling, MMM, and digital campaign KPIs including customer journey and ROI analysis. Proven ability to translate technical insights into business actions, manage cross-functional stakeholders, write technical documentation, and deliver results independently under tight timelines.

What’s in it for you?

Flexible hybrid working arrangement. The opportunity to give back with dedicated volunteer leave and our whole-company event, One Day for Change. 3 wellness days per year to switch off and take your day, your way. Career Development and Learning & Development opportunities, including access to our global online dentsu University. Be part of a global network that recognises performance with Never Before Awards and social impact, including a clearly mapped path to becoming net zero.

Commitment to Diversity & Inclusion

At dentsu, our diverse and inclusive culture empowers our employees to bring their whole selves to work, fostering innovation and delivering better outcomes for our people, clients, and communities. We actively encourage applications from people with disabilities and from individuals of all ages, backgrounds, nationalities, and cultures.

Next Steps

Sound exactly like the sort of role for you? Apply now!

Additional Information

Seniority level : Mid-Senior level Employment type : Full-time Job function : Analyst Industries : Advertising Services

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