Sr. Associate Data Scientist

• 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

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)

• 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)