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Open nowFirst seen 14 hours ago

Principal Data Scientist

Talent Insider1,155 open roles

Where
Central Jakarta, Jakarta, Indonesia
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Your applicationOpen nowPrincipal Data ScientistTalent Insider · Central Jakarta, Jakarta, Indonesia
  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 Talent Insider's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: first seen 14 hours ago

The posting

About the Company:

Talent Insider is an upcoming HR Consultancy Service, founded in 2021. Our clients have been some of the leading brands in Indonesia, and this service continues to expand.

Registered in Singapore & Indonesia, we can assist with your growth plans and strategies, and continue to expand our regional presence with strong regional partners to assist our client in recruitment and branding strategy.

Job Description:

  • Build Rules, Algorithms And Machine Learning Models, To Respond To And Mitigate Business Risks In The Company's Products/platforms. Such Risks Include And Are Not Limited To Account Integrity, Fraud, Scams, Malicious Activities, 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.

Job Requirements:

  • Bachelor or degrees above in Computer science, Mathematics, Machine Learning, or other relevant STEM majors (e.g. finance if applying for financial fraud roles).
  • 6+ years of hands on experience with ML tools such as R, Python, Spark, SageMaker, TensorFlow, or similar
  • Experience in machine learning and statistical techniques such as classification, clustering, regression, statistical inference, collaborative filtering, and natural language processing, experimental design, social networking analysis, feature engineering etc.
  • Must have experience with deep learning and gradient boosting.
  • Demonstrate understanding and experience with relational data sets, data warehouses, data mining and data analysis techniques
  • Ability to think creatively and solve problems
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