Principal Data Scientist, Cyber Risks

Principal Data Scientist, Cyber Risk

Interos is the operational resilience company — reinventing how companies manage their supply chains and business relationships — through our breakthrough SaaS platform that uses artificial intelligence to model and transform the ecosystems of complex businesses into a living global map down to any single supplier, anywhere. The Interos Operational Resilience Cloud helps organizations reduce risk, avoid disruptions, and achieve superior enterprise adaptability. Based in Washington, DC, the fast-growing private company is led by CEO Ted Krantz and supported by investors Kleiner Perkins, NightDragon, and Venrock.

We are searching for an extraordinary team member who thrives as part of a fast-paced team and takes pride in their ability to succeed while delivering value to our customers. Help drive innovation and grow professionally by tackling solving one of the most critical business challenges of our time – building safe, secure and resilient supply chains to power growth and prosperity for all. Whether you are an innovator, explorer, problem-solver or beyond, we are looking for changemakers- people who see promise where others see obstacles.

The Opportunity:

Are you constantly exploring more data-driven and rigorous approaches for analyzing the range of cyber-attacks, internet disruptions and manipulations, digital supply chain vulnerabilities, and shifting security and privacy regulatory and threat environments? Do you seek opportunities to transform complex, quantitative information security models into useful insights for a range of public and private sector customers? Are you looking to apply all these skills at a high-growth, start-up focused on supply chain risk?

At Interos, we are seeking a Principal Data Scientist, Cyber Risk who has a deep understanding of the hard work, patience, and diligence required to build, implement, and productize quantitative models of complex and large systems. With a focus on risk modeling across global supply chains, the Principal Data Scientist, Cyber Risk will operate, assess, and innovate on theory- and data-driven computational cyber risk models that expands beyond the logs to apply novel information security data and statistical models that are relevant across the range of digital supply chain risks. An avid researcher, writer, and leader, the Principal Data Scientist, Cyber Risk is also a data storyteller, with strong communication skills to both technical and non-technical audiences.

Join the growing Applied AI team at Interos and help implement cutting-edge risk models while working in a fast paced, multi-disciplinary environment. Introduce and operationalize complex models at scale for our private and public sector customers, while collaborating with a growing team focused on various cyber components of supply chain risk. Lead model-focused projects that help augment product features within the Interos platform. This role collaborates within the Applied AI team and across engineering and product and is responsible for navigating cyber risk model development from inception through to productization.

Essential Functions/Duties:

• Research and implement computational cyber risk models for integration into the Interos platform as part of the Applied AI team.
• Collaborate with product and engineering leaders and effectively communicate the models and underlying components.
• Conduct independent research and validation of diverse models from across multiple disciplines and assess their applicability to current product requirements.
• Deliver research papers, white papers, blogs, and external presentations.
• Translate academic and industry research into applied and scalable supply chain risk models with a focus on digital supply chain risks.
• Stay abreast of the latest current events, data sources, and research methods as they relate to global supply chains and the full range of internet and data trends and disruptions.
  
  
  

Minimum Qualifications:

• A PhD in social, computer, data, or behavioral science or related discipline, or at least ten years of work experience modeling and operationalizing quantitative cyber models, research, and analyses.
• A curious researcher, analyst, and leader who never stops seeking better data and new solutions to complex socio-technical and physical challenges.
• A passion for technology and the scientific application of quantitative models to social and physical systems, and the impact of emerging technologies.
• Strong communication skills, verbal and written.
• Proven open-source research skills and supporting product development.
• A team player who enjoys multi-disciplinary collaboration in an extremely fast-paced and fluid environment.
• Familiarity with Python, Jira, Git or other data analysis and engineering collaboration tools.
  
  
  

Min Years of Rel Exp w/Degree:

Minimum Degree Requirement: A PhD in social, computer, data, or behavioral science or related discipline, or at least ten years of work experience modeling and operationalizing quantitative cyber models, research, and analyses.

Preferred Qualifications:

• Ability to productize rigorous technical and/or academic models within a private sector or operational work environment.
• Background in product- and customer-oriented research and feature development.
• Strong leadership with agility to optimize resources and thrive under tight deadlines and shifting requirements.
• Demonstrable background interacting and communicating with a range of audiences (internal and external; technical and business stakeholders).
• Experience applying quantitative cyber risk models to supply chains at both a localized and global level of analysis.
• The ability to adapt quickly to shifting priorities and multi-task under tight deadlines.
  
  
  

Reports to:

• Location: Arlington, VA or Remote
• Supervisory Responsibility: This position has no supervisory responsibilities.
• Years of Supervisory Exp. Reqd: 0
• Travel Requirements: This position may require up to 10% travel. Frequent travel is outside the local area and overnight.
• Telecommute Option: Yes
• Work Environment: This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, printers.
• Physical Demands: This is largely a sedentary role. Physical requirements include occasional lifting/carrying of 5 pounds; visual acuity, speech and hearing; hand and eye coordination and manual dexterity necessary to operate a computer keyboard and basic office equipment. Subject to sitting, standing, reaching, walking, twisting, and kneeling to perform the essential functions. Working conditions are primarily inside an office environment.
• FLSA Status: Exempt
• Compensation range is base salary of $142,500 - $190,000. The salary range information provided, reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual salary will be commensurate with skills, experience, certifications or licenses and other relevant factors. In addition, this role will be eligible to participate in either the annual performance bonus or commission program, determined by the nature of the position.
  
  
  

Benefits:

• Comprehensive Health & Wellness package (Medical, Dental and Vision)
• 10 Paid Holiday Days Off
• Flexible Time Off (FTO)
• 401(k) Employer Matching
• Stock Options
• Career advancement opportunities
• Casual Dress
• On-site gym and dedicated Peloton room at headquarters
• Company Events (Sports Games, Fitness Competitions, Birthday Celebrations, Contests, Happy Hours)
• Annual company party
• Employee Referral Program