Senior Security Data Scientist — Remote Options

Anomali Inc.; Redwood City (CA); Hybrid; USD 100,000 - 130,000; Full time

Job summary

Anomali Inc. in Redwood City is seeking exceptional data scientists for the Anomali LABS team. This role emphasizes the creation of groundbreaking data products and analytics while collaborating with threat researchers. Ideal candidates have a passion for data exploration and a strong machine learning background.

Remote work options are available on a case-by-case basis, making this a flexible opportunity for skilled professionals. Join us to tackle challenging security data problems with innovative thinking.

Qualifications

• Passion for actionable data analysis and exploration.
• Experience with a wide variety of Machine Learning techniques.
• Confident using a scripting language like Python, Perl, or Ruby.
• Great problem solver and quick learner.
• Great communication skills for data presentation.
• Collaborative approach to data analysis.

Responsibilities

• Conduct research and rapid prototyping in security data science.
• Work closely with threat researchers and security engineers.
• Implement customer-facing data products, visualizations, and analytics.
• Apply advanced machine learning and statistical methods.

Skills

Data analysis

Machine Learning

Scripting in Python

Problem solving

Data Visualization

Communication skills

Statistics

Big Data knowledge

Education

Background in Applied Statistics, Optimization Theory, or Operations Research

Tools

Map Reduce

Spark

Hive

Linux

Job description

Anomali Inc. in Redwood City is seeking exceptional data scientists for the Anomali LABS team. This role emphasizes the creation of groundbreaking data products and analytics while collaborating with threat researchers. Ideal candidates have a passion for data exploration and a strong machine learning background.

Remote work options are available on a case-by-case basis, making this a flexible opportunity for skilled professionals. Join us to tackle challenging security data problems with innovative thinking.