Data Science Director | Build innovative solutions | Manage a team

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Published: April 1, 2021 (about 1 year ago)
Singapore, Singapore
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We are currently recruiting for a Data Science Director in Singapore for a leading global business. Are you passionate about your field and excited to push the boundaries? We are looking for someone who is technically skilled, with broad experience in machine learning and the ability to collaborate well with business stakeholders across different disciplines.


Our client is an innovative global business and they now have a new requirement for a Data Science Director to join their Singapore office. Working closely with a team of 300 and reporting directly into the Global Head of Data Science, the role includes two main responsibilities:


  1. Building Data Science solutions that will power products: The role will oversee the technical development of these solutions, so largely the focus will be on methodology development and technical implementation.
  2. Solutionising with partners: The design of the methodology will require an understanding of how the outputs will be used by stakeholders. As such there will be a certain amount of understanding that is required in terms of how partners across the business serve external clients and the business issues they are trying to solve.


You will contribute significantly to innovation and R&D – helping to define problems and engineering solutions to a production code level. You will oversee and deliver on technical data science projects, being hands on as well as managing others. Management is also a key part of the role and you will manage a small team of data science professionals - guiding, mentoring and training them. This is primarily a technical role and as such applicants much be able to demonstrate strong technical capabilities as outlined in the below requirements. We are looking for someone who, while has progressed in their own career, has remained hands on close to where the action happens.


Required experience

  • In the region of 6+ years’ experience of applying data science to commercial problems
  • Experience in overseeing large-scale data science projects with the ability to translate the underlying techniques into products
  • Some experience in managing others (ideal)
  • Strong Communication skills – able to understand business problems and convert this to convert technical concepts and back to solutions
  • Innovative and creative
  • Strong project management skills of technical projects
  • Bachelors/Masters Degree in Machine Learning, Mathematics, Statistics or Computer Science

Technical skills required:

Extensive Applied Machine Learning Experience, including but not limited to:

  • Supervised Learning Algorithms: Regressors (Logit, Linear, Lasso, Ridge, GLMs), Tree Based (XGBoost, LightGBM, RF), SVMs, Naïve Bayes, Neighbour algorithms, Ensemble techniques.
  • Clustering: Hierarchical/RFM/Kmeans/HDBScan
  • Factorization Approached (NMF/Factorization machines)

Deep Learning Experience, Including some of but not limited to:

  • Neural Networks (Multi-Layer-Perceptrons, Autoencoders, CNN’s, RNN’s, LSTM’s
  • Generative Algorithms
  • Proficient in at least one deep learning framework (Pytorch, Tensorflow, MXNet)
  • Transfer Learning

Natural language processing (NLP) Experience, Including some of but not limited to:

  • Vectorization approaches
  • Probabilistic models
  • Deep Learning Language Models
  • Pretrained Transformer Models (BERT, GPT-3)

6+ Years Machine Learning Pipeline Development

Production Level Python

Extensive experience in cloud based deployment frameworks (AWS or GCP based)

Strong Data Engineering experience: Enterprise databases, datalakes, data pipelines, apache Spark


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