Responsible for security strategies utilizing industry security standards, normative comparisons with industry peers, best practice research, and Aetna specific business and technology requirements.
Helping define, drive, and deliver all aspects of the data science product lifecycle, from requirements gathering, education, and strategy, to study design, solution architecting, programming, testing, implementation, delivery, and iteration of data science analytics products.
Requirements & Skills:
10+ years of expertise in machine learning, statistical analysis, security, and network data to model risk-driven models of workforce behavior and provide context to security analysts to drive business decisions.
8+ years of experience in tensorflow or pytorch and knowledge of Gen AI/LLM/NLP/MLOps or similar methodologies.
8+ years of customer interfacing experience (internal or external), demonstrating excellent ability to communicate technical ideas and results to non-technical clients in written and verbal form, and reliable executive presence.
Capability to provide strategic leadership by proactively recommending innovative research techniques and customer engagement opportunities.
Master’s Degree in Data Science, Mathematics, and Statistics. PhD is ideal.
Extensive experience developing computational methods and algorithms as demonstrated by publications, Python, etc.
Extensive experience in software development
Experience developing and applying data science methods to anomaly detection and/or time series problems.
