Director, Ratings Strategy (data science)

Remote USA

Bitsight

Bitsight is a global cyber risk management leader transforming how companies manage exposure, performance, and risk for themselves and their third parties.

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Bitsight is a cyber risk management leader transforming how companies manage exposure, performance, and risk for themselves and their third parties. Companies rely on Bitsight to prioritize their cybersecurity investments, build greater trust within their ecosystem, and reduce their chances of financial loss.
Built on over a decade of technological innovation, its integrated solutions deliver value across enterprise security performance, digital supply chains, cyber insurance, and data analysis.

  • We invented the cyber ratings industry in 2011
  • Over 3000 customers trust Bitsight
  • Over 750 teammates are dispersed throughout Boston, Raleigh, New York, Lisbon, Singapore, and remote

We are interested in someone who wants to unify their knowledge and professional experience within the fields of data science and cybersecurity onto our mission of aggregating trusted data and insights that enable risk-based decision making. As a Director of the Data Science team focused on Ratings Strategy and Methodology, you’ll be managing a team focused on consuming, interpreting, and modeling how cybersecurity data inputs can be used to support new and existing product use cases, while collaborating and directing a diverse group within R&D who are focused on maintaining and evolving our Security Rating and other measurements. You will be engaging with internal and external stakeholders, such as our customer-facing teams, cybersecurity researchers, and product managers to shape how we understand, interpret, and communicate cybersecurity risk in the context of observations from both inside and outside any organization, and identifying how we can apply data science concepts to innovate within the metrics and measurements space. In addition to a strategy development focus, you will also be collaborating with the marketing and thought leadership groups to push original research based on unique insights.

Responsibilities

  • Establish a strong understanding of how our cybersecurity signals are collected and what they imply, becoming a subject matter expert in our observables and apply that knowledge throughout the group.

  • Enable successful evolution of the maturity and sophistication of our Security Rating and other measurements to increase entropy and breadth of risk and more accurately assess security control effectiveness.

  • Define, manage, and communicate a long-term vision on how data science concepts and technologies can be applied in a cyber risk analysis context.

  • Guide the performance of data analysis on internally and externally-collected data sets, with the purpose of understanding new and existing ways to gain information about the cybersecurity risk profiles of companies and organizations relevant to further product development.

  • Collaborate with cross-functional implementation groups, including engineering, cybersecurity research, product management, to deliver ideas to customers.

  • Engage with internal stakeholders, leaders, and customers to understand and solicit feedback on viability of initiatives and projects.

  • Review, validate, and promote studies, models, and prototypes produced by members of the team to key stakeholders within the organization to further innovation and shape the product(s) roadmap.

  • Represent the team at the company and explain concepts, initiatives, and investments to a diversity of audiences, inside and outside the organization, and ensure our customer-facing teams are readily educated on the mechanics of our solution with the appropriate material and collateral.

  • Have a high attention to detail and ability to assure data quality by developing methods for data curation, cleaning, modeling, and review.

  • Identify opportunities for improving the effectiveness of the application of tools within the team, and establish practices to enable scale and efficiency.

Skills

  • 12+ years professional experience and a bachelor’s degree, or equivalent experience.

  • 5+ year managing, and leading multi-focus teams across a diversity of projects, including growing and fostering ownership within the team of various business initiatives and technical domains.

  • Success in application of data science tools and technologies in product and research contexts (machine learning, cloud computing experience, etc), including end-to-end ideation to implementation and customer feedback.

  • Technical background with expertise in networking and computer security, including knowledge of system administration practices, application protocols, and cybersecurity frameworks.

  • Current or previous software engineering experience, Python, R, Java, Scala

  • Prior experience and/or willing to learn big data processing technologies such as Hadoop / Spark.

Diversity. Bitsight is proud to be an equal opportunity employer. This means we do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.

Culture. We put our people first. Bitsight offers best in class benefits. We devote the same energy to nurturing our company's inclusive culture as we apply to serving our customers' needs. Working at Bitsight will give you the opportunity to fulfill your professional goals and expand your skills.

Open-minded. If you got to this point, we hope you’re feeling excited about the job description you just read.  Even if you don’t feel that you meet every single requirement, we still encourage you to apply.  We’re eager to meet people that believe in Bitsight’s mission and can contribute to our team in a variety of ways.

Additional Information for United States of America Applicants:

Bitsight also provides reasonable accommodations to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email recruiting@bitsight.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

Qualified applicants with criminal histories will be considered for employment consistent with applicable law.

This position may be considered a promotional opportunity pursuant to the Colorado Equal Pay for Equal Work Act.

The anticipated hiring base salary range for this position is US$190,000 to $220,000 annually for US-based employees.  This range reflects the minimum and maximum target for new hire salaries for the position across all US locations, is based on a full-time work schedule, and is Bitsight’s good faith estimate as of the date of this posting.  Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.In addition to base salary, this role is eligible for participation in a bonus or commission plan and an equity grant.  Bitsight also offers a competitive benefits package, including but not but limited to medical, dental, and vision insurance; paid parental leave; flexible time off; a 401(k) plan with employee and company contribution opportunities; life and disability insurance; and tuition reimbursement.

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Tags: Big Data Data analysis Data quality Engineering Hadoop Java Machine Learning Python R R&D Research Scala Security Spark

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Insurance Medical leave Parental leave Salary bonus

Regions: Remote/Anywhere North America
Country: United States

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