Vice President of Data Science & Artificial Intelligence, SecurityScorecard
$375-450k
+ Stock options & Bonus
3 days a week in office
Cybersecurity ratings & risk management
Job no longer available
Cybersecurity ratings & risk management
501-1000 employees
Job no longer available
$375-450k
+ Stock options & Bonus
3 days a week in office
501-1000 employees
Company mission
SecurityScorecard's mission is to make the world a safer place by transforming the way organisations understand, mitigate, and communicate cybersecurity risk to their boards, employees, and vendors.
Role
Who you are
- 10+ years of advanced analytics or data science experience
- Master’s degree in Computer Science, Statistics, Machine Learning, Mathematics, or any other related quantitative field
- 5+ years of management experience in leading data science teams with a successful track record in building teams, defining goals and overseeing execution
- 5+ years of experience within cybersecurity or a directly correlated industry
- Proven track record of solving ambiguous and complex data problems at scale, strong quantitative modeling skills inclusive of machine learning
- Strong interpersonal and communication skills. You are equally comfortable presenting to executives and peers as you are writing complex SQL queries
- Business Acumen – Proven ability to apply data science capabilities to solve practical business problems
- Product Sense - Understanding of a product planning process, ability to influence product strategies and roadmaps, strong collaboration skills
- Expert level knowledge in predictive analytics, machine learning, and data mining
- Proficiency in Python, Spark, Notebooks, AWS, Generative AI models, etc
- Data & ML Architecture – Experienced integrating data science applications into software products. Understands ML Ops (deployment/scalable infrastructure)
- Has worked with data at scale and velocity
- Mentor+Coach – A player-coach who can roll up sleeves, solve problems as a team, and facilitate the team’s success
- Proven ability to attract, hire, develop, and retain exceptional talent
- A dynamic, forward-thinking leader who will bring intensity and commitment to the business. A bias toward action, experimentation, and velocity
What the job involves
- The VP of Data Science is a leadership role responsible for developing and the ongoing operation of the company's tools, technologies, and technical solutions leveraging data science, advanced analytics, machine learning, generative AI, and other algorithms
- In addition, the VP of Data Science is responsible for the ongoing strategic advancement of the company's data science capabilities
- As the VP of Data Science, you will be responsible for defining the roadmap for your team and partnering with Product and Engineering to materialize those initiatives
- Partner with senior business, product, and engineering leaders to develop strategic goals and direction needed to continuously enhance the company's technology platforms
- Be a technical leader for the data science team, helping institute best engineering practices (coding standards, automated testing, scalability) and grow the technical capabilities of the team
- Ensure data best practices and play a critical role in building a data-driven culture throughout the entire organization
- Partner with senior business, product, and engineering leaders to develop strategic goals
- Partner with the technology leadership team to create a long-term vision and develop a roadmap of data science projects
- Conceive, develop, implement, and continually improve machine learning projects
- Leverage skills, experience, and creativity to apply data science to tackle interesting and challenging problems
- Develop new capabilities to deliver business solutions by applying data science algorithms
- Build and lead a high-performing team of data scientists, helping to enhance their skills while creating a fun and engaging culture that helps them prosper
- Foster career growth and provide thoughtful mentorship to develop employees at varying levels of experience. Establish a clear vision and mission for the data science department
- Work with cross-functional partners and executives in product, engineering, operations, finance, and marketing to define and achieve business goals and to build data-informed business strategies and roadmaps
- Determine leveraging data science, machine learning, and other analytical techniques to improve product features and capabilities. Provide leadership on how to leverage data and data expertise to improve the customer experience
- Develop analytical frameworks, models, roadmaps, and metrics for the team and broader organization
- Serve as a champion for data science and informed decision-making at all levels of the company. Make analytical techniques approachable and understandable to non-data scientists
- Lead the end-to-end planning and execution of all data analytics and sciences initiatives
Our take
Organisations understand the value of data and the value of business partnerships that will help them leverage it. However, involving more companies increases the risk of vulnerabilities and, therefore, costly data breaches. SecurityScorecard is a cloud-based enterprise SaaS solution that helps organisations assess and manage cybersecurity risks, offering analyses of potential partner companies using A-F security ratings.
SecurityScorecard looms over its competitors as it covers millions of companies, offering near-instant cybersecurity analyses and an array of capabilities. It has a large, global, and big-name customer base, including 9 of the top 10 pharmaceutical companies and 9 of the top 10 banking institutions, and it is likely to go public in the next few years.
It has both developed and consolidated an impressive lead in a sector that will continue to grow and reward cutting-edge security solutions. Security Scorecard set to remain an industry leader with demonstrable, accessible, and highly attractive customer offerings. In 2024, this included a supply chain cyber risk management platform - MAX - which is driving record revenue.
Freddie
Company Specialist at Welcome to the Jungle
Insights
62% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Mar 2021
$180m
SERIES E
Jun 2019
$50m
SERIES D
Total funding: $294.4m
Company benefits
- Stock options
- 12 weeks of paid maternity leave / 4 weeks paid paternity leave
- Work from home opportunities
- Medical, dental, and vision coverage
- Unlimited PTO
- 401K
- $3k annual education stipend per employee
- Full access to our learning platform and company professional development events
- Up to $10K referral bonus
Company HQ
Midtown South, New York, NY
Leadership
Aleksandr Yampolskiy
(Co-Founder & CEO)Worked at Oracle and Goldman Sachs, before serving for 2 years as CISO of Gilt Group. Founded NYC Technology Startup, Meetup, in 2012 and then worked as CTO of Cinchcast.
Sam Kassoumeh
(Co-Founder & COO)Progressed from Technology Compliance Manager to Head of Security and Compliance at Gilt Groupe within 4 years, and worked as Cyber Security Advisor for Billy.
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