Netwitness - Principal Data Scientist - Product Engineering

Principal Data Scientist - Product Engineering

As one of the most established cybersecurity companies in the world, we at NetWitness are hard at work every day helping our customers and partners better protect their organizations from cyberattacks. Our products and incident response services are used within most large enterprises, governments and militaries for incident response and threat hunting. Our Sales Professionals, Sales Engineers and Professional Services Consultants design and deliver solutions for potential and existing customers to enable better visibility, insight and action to prevent and defend against attacks. NetWitness provides the unique ability to provide one single platform with a unified view across all attack surfaces including Network, Logs/SIEM, Endpoint and IoT combined with our AI-based User and Entity Behavioral Analysis (UEBA) and Security, Orchestration, Automation & Response (SOAR) capabilities. 

The Principal Data Scientist will lead AI discovery, research, algorithmic solution design, and rapid prototyping of data science based threat detection and automated risk assessments. This role will work with Engineering and Architecture teams within Netwitness as well as work with customers and other customer facing team members to identify product requirements and translate them into effective AI based solutions. This is an exciting opportunity to combine Cyber Security domain knowledge with machine learning algorithms to help our customers stay safe in a rapidly evolving threat landscape that in itself is more and more driven by AI driven attacks. 

Principal Accountabilities:

• Develops and applies a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights to prospects and customers based on large-scale data
• Works under little to no supervision with internal and external teams to understand customer requirements
• Leads and performs end-to-end steps involved in model development, while establishing subject-matter expertise in key horizontal or vertical themes
• Executes preliminary data exploration, data preparation steps and variable/algorithm selection as well as model development/validation and scoring
• Independently develops and drives testing of algorithms efficacy for differing analytical use-cases
• Delivers results and presentations in a timely manner
• Leads definition of project use-cases, scope definition, and ongoing interaction with external customers to provide status updates and shares analytical insights
• Leads the presentation of project outputs to external customers without assistance
• Works with the academic and business community to develop new techniques and to contribute to research in the area of analytics on large databases
• Generates new product requirements for the engineering group to enhance the analytics capabilities of the big data platform, in alignment with emerging subject-matter expertise
• Serves as spokesperson on specialized projects and act as prime consultant on large projects and may be an informal team leader

Required Experience: 
 

• Experience in applied machine learning
   
• Experience in applying broad knowledge of ML/AI capabilities in cyber security use cases
   
• Skilled in Programming language (Python, Java, R or Scala) and Large-scale training using data structures and algorithms
   
• Experience with cloud environments including Azure, Google Cloud, etc.
   
• Experienced with agile methodologies using project planning and tracking management tools e.g., JIRA

RSA is committed to the principle of equal employment opportunity for all employees and applicants for employment and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RSA are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, national origin, sex (including pregnancy), age, disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, protected veteran status, genetic information, or any other characteristic protected by federal, state or local laws. RSA will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. All RSA employees are expected to support this policy and contribute to an environment of equal opportunity.  

If you need a reasonable accommodation during the application process, please contact rsa.global.talent.acquisition@rsa.com. All employees must be legally authorized to work in the US. RSA and its approved consultants will never ask you for a fee to process or consider your application for a career with RSA. RSA reserves the right to amend or withdraw any job posting at any time, including prior to the advertised closing date.