Senior Data Scientist, SecurityScorecard

$170-205k

OTE

+ Stock options, Salary range made up of base plus bonus

AWS

GCP

Python

Scikit-Learn

Senior and Expert level

Austin

More information about location

2+ days a week in office

Cybersecurity ratings & risk management

Be an early applicant

Cybersecurity ratings & risk management

501-1000 employees

B2BData storageSecurityEnterpriseCyber Security

Be an early applicant

$170-205k

OTE

+ Stock options, Salary range made up of base plus bonus

AWS

GCP

Python

Scikit-Learn

Senior and Expert level

Austin

More information about location

2+ days a week in office

501-1000 employees

B2BData storageSecurityEnterpriseCyber Security

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.

Job

Company

Role

Who you are

Advanced degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems
5+ years of experience applying data science and machine learning to real-world challenges
Proficient in Python and ML/data science frameworks (e.g., scikit-learn, XGBoost, MLFlow, Databricks)
Experience working with cloud-based data pipelines (AWS, GCP, or similar)
Solid understanding of ML algorithms, evaluation metrics, and model deployment
Effective communicator and team player with a passion for solving hard problems
Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus
Prior exposure and interest in LLMs is a plus

What the job involves

We are looking for a talented and driven Senior Data Scientist to join our fast-moving, growing Data Science team leveraging our vast and unique cybersecurity data assets.
As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced machine learning models that drive insights and enhance our cybersecurity platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products
Build, evaluate, and deploy machine learning models for cybersecurity risk scoring, threat intelligence, and vendor risk assessment
Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets
Evaluate and validate models, ensuring their accuracy, robustness, and scalability
Collaborate with product managers and engineers to define data science requirements and integrate models into production systems
Contribute to code reviews, design discussions, and data science best practices
Stay current on new research and technologies to ensure we leverage state-of-the-art methods
Communicate findings and recommendations effectively to both technical and non-technical audiences

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

Top investors

62% employee growth in 12 months

Glassdoor (3.2)

Trustpilot (3.7)

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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