Bitsight Technologies Logo

Bitsight Technologies

Director, Ratings Strategy (data science)

Posted 23 Days Ago
Be an Early Applicant
Remote
2 Locations
190K-220K Annually
Senior level
Remote
2 Locations
190K-220K Annually
Senior level
As Director of Ratings Strategy, you'll lead the Data Science team in applying data science to enhance cybersecurity metrics, manage projects, and engage internal and external stakeholders.
The summary above was generated by AI

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 [email protected]. 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.

Top Skills

Hadoop
Java
Python
R
Scala
Spark

Similar Jobs

10 Minutes Ago
Remote
United States
212K-235K Annually
Senior level
212K-235K Annually
Senior level
eCommerce • Food • Software
Lead a team of data scientists to drive data analysis strategy for marketing and growth, ensuring quality and actionable insights.
Top Skills: Causal InferenceMachine LearningSQL
56 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
105K-115K
Mid level
105K-115K
Mid level
Healthtech • Software
The role involves analyzing healthcare data, developing insights for clinical programs, optimizing value for clients, and collaborating with stakeholders on data-driven decisions.
Top Skills: AthenaPower BIPythonRSASSQLTableau
An Hour Ago
Remote
Hybrid
New York, NY, USA
130K-170K Annually
Senior level
130K-170K Annually
Senior level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Seeking a Staff Data Engineer to build data pipelines and applications, utilizing emerging technologies like generative AI, and collaborating with cross-functional teams.
Top Skills: AWSAzureGCPGenaiHiveLangchainLlmsPythonSnowflakeSparkSQL

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account