Data Scientist
Pulse iD | Kuala Lumpur

About Pulse iD

Pulse iD is an identity platform that uses geolocation data to unlock security, loyalty & identity services to banks, telcos & media clients. Headquartered in Hong Kong, our technology is running on millions of smartphones. Underpinned by proprietary & highly disruptive technology, Pulse iD is backed by experienced investors and is navigating an industry segment that is experiencing exponential growth.

About the Role

We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data currently stored in our data lake, and help us take our next generation data driven products to the next level. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.


Pulse iD is organized into small, agile, cross functional teams that works closely with the product and business development teams. Ownership is part of our DNA and every member of the team has a say in the shaping of the products they are working on.

Key Responsibilities

  • Analyze the collected data and suggest the addition of information that is relevant for building analytic systems

  • Processing, cleansing, and verifying the integrity of data used for analysis

  • Data mining using state-of-the-art methods

  • Selecting features, building and optimizing classifiers using machine learning techniques

  • Doing ad-hoc analysis and presenting results in a clear manner

  • Creating automated anomaly detection systems to help us improve our products and services

Experience and Qualifications

  • At least one year experience in a relevant position.

  • Excellent understanding of supervised and unsupervised machine learning techniques and algorithms, such as k-NN, DBSCAN, PCA, Naive Bayes, SVM, Random Forests, etc.

  • Experience with common data science toolkits, such as SciPy, NumPy, Pandas, Scikit-learn, R, Weka, TensorFlow, etc. Excellence in at least one of these is highly desirable.

  • Experience with data visualisation tools, such as Matplotlib, Bokeh, Seaborn, GGplot, Plotly, D3.js, etc.

  • Excellent proficiency in SQL.

  • Good applied statistics skills, such as regression modelling, statistical testing, etc.

  • Good scripting and programming skills in Python or Scala.

  • Strong presentation and communication skills, explaining complex analytical concepts to people from other fields

Nice to have

  • Experience analyzing sensor and smartphone data.

  • Experience building data based products.

  • Worked extensively with Apache Spark.

  • Experience working with Apache Zeppelin.

  • University degree in a relevant field.

Incentives Package

We offer a good base with performance-based commissions and equity options.

Sounds like you? To apply, send your CV and cover letter to

For more information, please visit their website: