Senior Data Scientist

5 days ago

Singapore Synthesis Full time

Overview

Get AI-powered advice on this job and more exclusive features. At Synthesis, we push the boundaries of Open Data in a fast-paced environment at the intersection of data science, cultural analysis & brand consultancy. This is Open Source Intelligence for brands.

As a Senior Data Scientist at Synthesis, you will shape our data science practice and drive innovation across client projects and internal products. You will lead end-to-end data initiatives, delivering work from shaping datasets and building models to designing scalable data workflows that power insights and decision frameworks.

You will work with diverse open data sources—from search, social, and e-commerce data to academic papers and patents—to understand audience behaviour and anticipate evolving needs. You will contribute hands-on and guide junior data scientists, act as a thought partner to cultural strategists, and help define the roadmap for our data products and infrastructure.

We are a small, collaborative team with backgrounds in computer science, engineering, anthropology, and law. We value curiosity, creativity, and experimentation. If you are excited about combining data and culture to solve real-world problems, we would love to hear from you

What you’ll need
  • 5+ years of experience in data science, with a track record of delivering impactful projects from data exploration through production deployment.
  • Deep proficiency in Python and SQL , with strong software engineering fundamentals (clean, modular, well-documented code, testing, and version control with Git).
  • Proven experience designing and building scalable data workflows or data-driven products , including architecting pipelines, modular components, and reusable frameworks.
  • Experience applying large language models or advanced NLP techniques (e.g. embeddings, semantic parsing, topic modelling, text classification); familiarity with processing Asian languages is a plus.
  • Strong grasp of statistical methods and core machine learning algorithms , with practical experience using libraries such as scikit-learn, statsmodels, and the ability to select appropriate models based on data characteristics and problem context.
  • Comfortable working with large, messy, and unstructured datasets , particularly text and image-based data.
  • Ability to translate complex technical insights into clear, actionable recommendations for non-technical stakeholders, and collaborate closely with strategists to drive business outcomes.
  • A collaborative mindset, with openness to feedback and diverse perspectives.
Bonus points
  • Experience leading or mentoring junior data scientists, including setting technical direction and supporting professional growth.
  • Experience building and maintaining production-grade data pipelines (e.g., Airflow, Dagster) or integrating data from APIs, web scraping, or third-party providers.
  • Familiarity with cloud environments such as Google Cloud or AWS, and deploying data science workflows at scale
About Synthesis

Synthesis is known for delivering exceptional data models and products that unravel the stories of the people they represent and inspire our partners with the confidence to act.

We work with open data—search, ratings, social, and sales. By layering signals, we build robust and relevant data-driven stories around brands, business, and consumer behaviour.

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