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Sr. Associate Data Scientist

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Amgen

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Location:
India , Hyderabad

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

The Data Scientist is responsible for developing and implementing AI-driven solutions to enhance cybersecurity measures within the organization. This role involves leveraging data science techniques to analyze security data, detect threats, and enhance security processes with generative AI and other analytic capabilities. The Data Scientist will work closely with cybersecurity teams to identify data-driven automation opportunities which strengthen the organization’s security posture.

Job Responsibility:

  • Develop analytics to address security concerns, enhancements, and capabilities to improve the organization's security posture
  • Collaborate with Data Engineers to translate security-focused algorithms into effective solutions
  • Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
  • Perform exploratory and targeted data analyses using descriptive statistics and other methods to identify security patterns and anomalies
  • Design and implement security-focused analytics pipelines leveraging MLOps practices, generative AI, and agent-based architectures
  • Collaborate with data engineers on data quality assessment, data cleansing, and the development of security-related data pipelines
  • Contribute to data engineering efforts to refine data infrastructure and ensure scalable, efficient security analytics
  • Generate reports, annotated code, and other project artifacts to document, archive, and communicate your work and outcomes
  • Share and discuss findings with team members practicing SAFe Agile delivery model

Requirements:

Master’s degree OR Bachelor’s degree and 3 to 5 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)

Nice to have:

  • Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Outstanding analytical and problem-solving skills
  • Ability to learn quickly
  • Excellent communication and interpersonal skills
  • Experience with data engineering and pipeline development
  • Experience in analyzing time-series data for forecasting and trend analysis
  • Experience with AWS, Azure, or Google Cloud
  • Experience with Databricks platform for data analytics and MLOps
  • Experience working in Product teams environment
  • Experience working in an Agile environment
  • Any AWS Developer certification (preferred)
  • Any Python and ML certification (preferred)
  • Any SAFe Agile certification (preferred)

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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