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Open nowFirst seen 27 hours ago

DATA SCIENTIST/SENIOR DATA SCIENTIST

newbridge100 open roles

Where
Singapore
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Your applicationOpen nowDATA SCIENTIST/SENIOR DATA SCIENTISTnewbridge · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on newbridge's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 27 hours ago

The posting

The Role:

Founding Data Scientist for our 0-1 AI-native data infrastructure platform. This is a hands-on, high-learning role for a strong generalist who wants to build from scratch alongside top-tier talent.

You will work on real platform problems from day one, with direct mentorship from the Lead and Head of Data Science. Perfect for someone who wants to accelerate from model builder to product-minded AI builder.

What You Will Own:

  • Model Development: Build, train, and evaluate ML models under guidance of senior team members for platform features like data classification, entity resolution, semantic tagging, and quality checks.
  • Data Exploration & Prototyping: Dive into complex, high-dimensional datasets, uncover patterns, run experiments, and rapidly prototype new AI-native ideas.
  • Production Support: Help productionize models - write clean, testable Python code, build evaluation harnesses, and contribute to monitoring pipelines.
  • Learn & Ship: Contribute to automation and integration of AI into our core data stack.

Who You Are:

  • Hands-on experience in Data Science / Applied ML with production exposure.
  • Strong Python and SQL. Comfortable with pandas, scikit-learn, and basic deep learning.
  • Solid understanding of ML fundamentals: feature engineering, model selection, metrics, regularization, and statistical validation.
  • Curiosity for GenAI stack - you have played with LLMs, RAG, vector DBs, or built side projects.
  • High agency, fast learner, loves ambiguity of a 0-1 environment. You care about shipping.
  • BS/MS in CS, ML, Stats, Math or related field, or equivalent proven experience.
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