Data Scientist

Job title: Data Scientist
Contract type: Permanent
Location: Singapore
Salary: SGD12,000-SGD15,000 per month
Contact name: Mohd Shahbaz Khan
Contact email:
Published: over 1 year ago

Job description

About our client

My client is a is a technology company operating a range of content platforms that inform, educate, entertain and inspire people across languages, cultures, and geographies.

About the role

  • In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key ecurity initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions.

  • There challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system.

  • The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences.

Your responsibilities

  • Build rules, algorithms and machine learning models, to respond to and mitigate business risks in products/platforms.

  • Such risks include and are not limited to account integrity, scalper, deal-hunter, malicious activities, brushing, click-farm, information leakage etc.

  • Analyze business and security data, uncover evolving attack motion, identify weaknesses and opportunities in risk defense solutions, explore new space from the discoveries.

  • Define risk control measurements. Quantify, generalize and monitor risk related business and operational metrics.

  • Align risk teams and their stakeholders on risk control numeric goals, promote impact-oriented, data-driven data science practices for risks.


  • Bachelor or degrees above in computer science, statistics, math, internet security or other relevant STEM majors (e.g. finance if applying for financial fraud roles).

  • Solid data science skills. Proficiency in statistical analytical tools, such as SQL, R and Python.

  • Familiarity with machine learning or social/content online platform analytics. Bonus given to proficiency in modern machine learning applications.

  • Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, datadriven manner. High autonomy.

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