Lead Data Scientist – Synthetic Systems

About the Role

Populix is building the future of AI-powered market research, combining structured data, unstructured insights, and generative AI into a seamless research intelligence platform. We are looking for a Lead Data Scientist to spearhead the development of simulation systems and automation pipelines, and to actively support the Head of Data Science in shaping our AI research strategy. This role will be at the forefront of building simulation modeling, scaling automation for text and audio-based survey data, and translating research into whitepapers that position Populix as a thought leader in the region. You will advance our use of retrieval-augmented generation (RAG) and modular AI architectures to deliver fast, accurate, and contextualized insights.

Location : Central Jakarta, Jakarta, Indonesia (role is listed with application details and posting timing on the site).

Key Responsibilities

• Lead the design and implementation of behavioral simulation responses and demographic patterns using generative models, statistical modeling, and controlled simulations
• Collaborate with the research and marketing teams to create simulation-driven whitepapers and internal studies, communicating the value of synthetic insight across use cases like campaign testing, segmentation, and hypothetical trends
• Drive automation of research workflows that involve open-ended responses and audio data, including pipelines for transcription, classification, summarization, and sentiment analysis
• Work with the Head of Data Science to translate high-level product and research strategy into technical roadmaps, experiment plans, and model architecture decisions
• Help scale our AI insight engine by contributing to Retrieval-Augmented Generation (RAG) workflows and collaborating with LLM engineers on modular pipelines for context-rich output generation
• Collaborate closely with engineers, designers, and product teams to ship robust ML-powered tools into production across the Populix platform
• Provide mentorship to other data scientists, sharing knowledge, reviewing modeling work, and helping maintain a culture of experimentation, reproducibility, and ethical AI

Required Qualifications

Preferred Qualifications

Note : This posting contains details intended for applicants and may include location / t Timing information and related recruitment notes.

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