Description

You will join the Cyber AI team to solve enterprise problems using machine learning, data engineering, and data science principles.

Responsibilities

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

Required Skills

• 5+ years of experience with advanced statistical methods including regressions, classifiers, recommenders, anomaly detection, optimization algorithms, tree methods, and neural nets.
• 5+ years of experience programming in R, Python, or Java.
• 3+ years of experience with relational or NoSQL databases such as 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 and delivering 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 of experience with data visualization tools (Tableau, D3, ggplot, matplotlib, seaborn) or Splunk.
• 2+ years practicing CRISP-DM or applying agile SDLC.

Key Skills

Education

Any graduate