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Principal Data Scientist

Talent Insider

Jakarta Pusat

On-site

IDR 50.000.000 - 70.000.000

Full time

Today
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Job summary

A leading HR consultancy in Jakarta is looking for a Machine Learning Specialist to develop algorithms for business risk mitigation. The role requires extensive experience in machine learning tools and statistical techniques, alongside strong problem-solving skills. Candidates with a relevant STEM degree and over 6 years of experience in similar positions will thrive in this innovative environment.

Qualifications

  • 6+ years of hands-on experience with ML tools.
  • Experience in machine learning statistical techniques.
  • Must have experience with deep learning and gradient boosting.

Responsibilities

  • Build machine learning models to mitigate business risks.
  • Analyze business and security data to uncover threats.
  • Define and monitor risk control metrics.

Skills

Machine Learning tools (R, Python, Spark, SageMaker, TensorFlow)
Statistical techniques (classification, clustering, regression)
Problem-solving abilities
Creative thinking

Education

Bachelor or higher in Computer Science, Mathematics, or relevant STEM majors
Job description

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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