Beranda Job Details
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Science & Technology 🏢 Full Time ⭐️ Terverifikasi

Senior Data Scientist, Product, App Ecosystem and Trust

Google
Canggu, Ubud, Denpasar, Jimbaran, Nusa Dua, Kuta, Badung
Salary Estimate
USD 120.000 – USD 180.000
Newest
Live Update
14 Juli 2026
Deadline
14 Jul 2027

job description

Join Google as a Senior Data Scientist and drive impactful business decisions with your analytical expertise in a global tech leader. Based in the vibrant locations of Bali, you'll work on cutting-edge projects within the App Ecosystem and Trust domain, leveraging data to enhance product integrity, user trust, and ecosystem growth.

As part of our dynamic team, you'll collaborate with cross-functional stakeholders to develop data-driven strategies, build scalable models, and ensure the highest standards of data integrity. This role offers a unique opportunity to shape the future of digital trust and innovation in one of the world's most influential tech companies.

Enjoy a flexible work environment, world-class benefits, and the chance to make a real impact in a role that blends technical expertise with strategic vision.

Responsibility

  • Lead data-driven initiatives to enhance app ecosystem trust and integrity.
  • Develop and deploy advanced machine learning models to detect and mitigate risks.
  • Collaborate with product and engineering teams to integrate data insights into product strategies.
  • Design and implement scalable data pipelines and analytical frameworks.
  • Conduct deep-dive analyses to identify trends, anomalies, and opportunities.
  • Present findings and recommendations to senior leadership and stakeholders.
  • Mentor junior data scientists and foster a culture of data excellence.
  • Stay ahead of industry trends and emerging technologies in data science and trust systems.

Qualifications

  • Master's or PhD in Computer Science, Statistics, or a related quantitative field.
  • 5+ years of experience in data science, with a focus on product or trust systems.
  • Proficiency in Python, SQL, and data visualization tools (e.g., Tableau, Looker).
  • Strong background in machine learning, statistical modeling, and data analysis.
  • Experience with big data technologies (e.g., BigQuery, Spark, TensorFlow).
  • Excellent communication skills to translate complex data insights into actionable strategies.
  • Proven ability to work in a fast-paced, collaborative environment.
  • Familiarity with app ecosystems, fraud detection, or digital trust is a plus.

Required Skills

Python SQL Machine Learning Data Analysis BigQuery TensorFlow Statistical Modeling Data Visualization

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