Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Physics or a related quantitative field
Demonstrated ability to write clean, efficient code.
Proficiency in Python or C#
Familiarity with standard ML algorithms (e.g., linear/logistic regression, decision trees, random forests) and libraries like Scikit-Learn or TensorFlow/PyTorch
Ability to think outside the box and/or think maliciously to deliver creative solutions.
Qualification wording
Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Physics or a related quantitative field
Demonstrated ability to write clean, efficient code. Proficiency in Python or C#
Familiarity with standard ML algorithms (e.g., linear/logistic regression, decision trees, random forests) and libraries like Scikit-Learn or TensorFlow/PyTorch
Ability to think outside the box and/or think maliciously to deliver creative solutions.
Education & alternatives
Requirements:
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Physics or a related quantitative field
- Strong working knowledge of SQL for data extraction and manipulation
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
C#
Python
SQL
PyTorch
scikit-learn
TensorFlow
Where the posting names them
- Understanding and implementing broader attack vectors.
- Developing detection algorithms (python, c#) and extracting identifying features of phishing emails.
- Understanding human behaviour and communications, and how they can be exploited by attackers
- Strong working knowledge of SQL for data extraction and manipulation
- Demonstrated ability to write clean, efficient code. Proficiency in Python or C#
- Familiarity with standard ML algorithms (e.g., linear/logistic regression, decision trees, random forests) and libraries like Scikit-Learn or TensorFlow/PyTorch
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Physics or a related quantitative field
- Strong working knowledge of SQL for data extraction and manipulation
- Demonstrated ability to write clean, efficient code. Proficiency in Python or C#
- Demonstrated ability to write clean, efficient code. Proficiency in Python or C#
- Familiarity with standard ML algorithms (e.g., linear/logistic regression, decision trees, random forests) and libraries like Scikit-Learn or TensorFlow/PyTorch
- Demonstrable experience in being able to quickly learn and adapt to new areas of technology
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, KnowBe4 is the pioneer of digital workforce security, securing both AI agents and humans. The KnowBe4 Platform provides attack simulation and training, collaboration security, and agent security powered by AIDA (Artificial Intelligence Defense Agents) and a proprietary Risk Score. The platform leverages 15-years of behavioral data to combat advanced threats including social engineering, prompt injection, and shadow AI. By securing humans and agents, KnowBe4 leads the industry in workforce trust and defense.
The Cybersecurity Threat Analyst works in the KnowBe4 Threat Research Lab, and is responsible for creating solutions and models to detect threats in KnowBe4’s target markets and products.
Analyzes threat data and implements technical solutions
Innovate and create extensions to detection paradigms in end to end fashion
Reviewing, understanding and reverse engineering phishing attacks and technologies.
Understanding and implementing broader attack vectors.
Developing detection algorithms (python, c#) and extracting identifying features of phishing emails.
Understanding human behaviour and communications, and how they can be exploited by attackers
Using machine learning to identify broader phishing trends and how to protect against them
Requirements:
Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Physics or a related quantitative field
Strong working knowledge of SQL for data extraction and manipulation
Demonstrated ability to write clean, efficient code. Proficiency in Python or C#
Familiarity with standard ML algorithms (e.g., linear/logistic regression, decision trees, random forests) and libraries like Scikit-Learn or TensorFlow/PyTorch
Demonstrable experience in being able to quickly learn and adapt to new areas of technology
Ability to think outside the box and/or think maliciously to deliver creative solutions.
Our Fantastic Benefits
We offer company-wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, tuition reimbursement, certification reimbursement, and certification completion bonuses - all in a modern, high-tech, and fun work environment. For more details about our benefits in each office location, please visit www.knowbe4.com/careers/benefits.
Note: An applicant assessment and background check may be part of your hiring procedure.
Individuals seeking employment at KnowBe4 are considered without prejudice to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation.