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Data Scientist, Singapore

Data Scientist, Singapore

Job Description: Data Scientist

Company: GIST Advisory Singapore PTE

Location: Singapore

Position: Full Time

Salary: Based on Experience


We are looking for a Data Scientist to join our team! This role will work on the Data Science and Analytics team developing machine learning models, data science products and derived metrics that help us stay competitive across our suite of impact analysis platforms.


About GIST:


GIST’s vision is a sustainable tomorrow:  a world in which everyone measures what matters. A world in which investors and companies measure, monitor and manage stakeholder performance beyond just profits for shareholders.


GIST delivers sustainability metrics, analytics and insights. We work at the intersection of sustainability, technology and big data.

 Our foundation as an impact analysis and economic valuation advisor for 15 years means we have robust knowledge and expertise on environmental, social, human and financial capital. Our impact analysis solutions help investors and companies measure, value and benchmark impacts of business externalities across all four capitals: Natural, Human, Social and Financial. Presented in the form of economic value, quantifiable volumes and qualitative ranks, our work enables investors and companies to manage their material risks and make informed decisions.


Our mission is to make sustainability accessible to all. To achieve this, we’re creating technology solutions that make it easy for corporations and investors to measure what matters: performance and impacts across all value dimensions.


GIST is advised by global sustainability experts, and led by a distinguished CEO and Board of Directors. GIST’s Founder and CEO, Pavan Sukhdev, is a sustainability thought leader and earlier led the global studies  TEEB and the UN’s Green Economy Report. In 2020, he was awarded the Tyler Prize for Environmental Achievement. GIST’s Advisory Board includes several outstanding global sustainability leaders and experts.


GIST Singapore is a subsidiary of GIST Advisory Switzerland S.A. (“GIST SA”). GIST SA was one of the 10 finalists of the recently concluded Global Hackcelerator Program, part of the Singapore Fintech Festival.


About our team:


We know that building the right team is pivotal to everything that we do, and to the positive impact we want to make in the world.


Our diverse team of experts span many corners of the globe - Mumbai, London, Nyon, Singapore, San Diego - bringing different perspectives and cutting-edge approaches to the challenges our customers face. Together, our team is united on our mission to make sustainability accessible to all.

Role Description:


  • Gathering and analyzing data across a broad spectrum of industry categories and organizations

  • Generating insights based on data collected and analyzed

  • Building heuristics and models that allow us to optimize the data collection and data processing

  • Understanding and communicating data handling requirements for the purpose of product development

  • Communicating results with key stakeholders across internal business units and external clients


Experience requirements:


  • 3-5 years’ experience as a Data Scientist building machine learning models and analyzing data

  • Bachelor’s degree or better in a quantitative field (computer science, engineering, mathematics, statistics, economics, etc.)

  • Excellent experience with a modern data science programming toolset (Python, Jupyter or similar notebook environment, PyTorch/Tensorflow or similar machine learning framework)

  • Excellent data intuition and analytical skills (understanding and identifying sources of bias, able to derive insight from unstructured data)

  • Good understanding of modern machine learning algorithms (tree models, SVM, deep learning)

  • Good experience with feature engineering 

  • Good relational database experience (MySQL or similar)

  • Some experience developing software services for machine learning models, especially REST APIs (FastAPI or Flask preferred)

  • Familiarity with and experience using Git or similar code versioning software 

  • Eagerness to learn new technologies and follow industry best practices in an ever-evolving field

  • Able to communicate complex data science concepts to non-technical audiences


Nice to have:


  • Data warehouse or data lake experience

  • Docker/Kubernetes or similar containerization experience

  • Masters degree in a quantitative (computer science, engineering, etc.) field

  • Experience deploying and updating machine learning models to a production environment

  • Experience utilizing state of the art machine learning methods for natural language processing, clustering, etc.

  • Only Singapore PR/ Singapore citizens will be considered for this position



If this sounds like you, we’d like to hear from you!