Description

You will design, develop, and deploy automated data systems and machine learning models to solve enterprise problems for the Cyber AI team.

Responsibilities

• Devise and develop actionable intelligence from disparate data sources using advanced analytics.
• Establish end-to-end automated processes for data analysis and model implementation.
• Measure ML data throughput and benchmark against KPIs to mitigate risks.
• Own the design, deployment, and automation of data systems.
• Communicate complex analytical results and visualizations to stakeholders.

Required Skills

• 5+ years of experience with advanced statistical methods: regressions, classifiers, recommenders, anomaly detection, optimization, tree methods, and neural nets.
• 5+ years programming in R, Python, or Java.
• 3+ years with relational or NoSQL databases: Oracle, Teradata, SQL Server, Hadoop, or ELK.
• Proven experience in machine learning, classification, optimization, time series analysis, and pattern recognition.
• B.S./BTech in a STEM or Economics related field.
• Experience presenting technical results to business partners and leadership.

Preferred Skills

• M.S./MTech or PhD in a STEM or Economics related field.
• 2+ years using AWS cloud services (SageMaker, Lambda, DynamoDB, EC2, Lex, Rekognition).
• 2+ years with data visualization tools (Tableau, D3, ggplot, matplotlib, seaborn) or Splunk.

Key Skills

Education

Any graduate