About KnowBe4
KnowBe4, the provider of the world's largest security awareness training and simulated phishing platform, is used by tens of thousands of organizations around the globe. KnowBe4 enables organizations to manage the ongoing problem of social engineering by helping them train employees to make smarter security decisions, every day.
Fortune has ranked us as a best place to work for women, for millennials, and in technology for four years in a row! We have been certified as a "Great Place To Work" in 8 countries, plus we've earned numerous other prestigious awards, including Glassdoor's Best Places To Work.
Our team values radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves. Whether working remotely or in-person, we strive to make every day fun and engaging; from team lunches to trivia competitions to local outings, there is always something exciting happening at KnowBe4.
Remote positions open to the US only.
Data scientists work closely with business stakeholders to understand their goals and identify data-driven strategies to achieve those goals. They design data modeling processes, create algorithms and predictive models to extract the insight the business needs and help analyze the data to increase the productivity and efficiency of the business.
Responsibilities:
- Expertise working experience with programming languages like Python, R, and SQL
- Solid understanding of statistics, probability, and machine learning
- Research, design, and implement Machine Learning algorithms to solve complex problems
- Communicate complex concepts and statistical models to non-technical audiences through data visualizations
Required Skills:
- BS or equivalent plus 3 years experience
- MS/Ph.D. or equivalent; no experience required
- Expert-level SQL proficiency with experience in Snowflake, dbt, and Looker
- Advanced Python programming with demonstrated expertise in data science libraries (numpy, pandas, matplotlib, scikit-learn)
- Strong foundation in statistics and mathematical principles underlying data science algorithms
- Extensive experience in developing and deploying machine learning models, including
- Feature engineering and selection, Model training, validation, and testing, Sampling and data reduction techniques
- Experience in establishing and implementing DataOps and MLOps best practices
- Demonstrated ability to quantify and communicate business impact through data-driven insights
- Track record of identifying and leading high-impact data science initiatives
- Experience in building and maintaining stakeholder relationships across all organizational levels
- Excellent communication skills, particularly in explaining technical concepts to non-technical audiences
The base pay for this position ranges from $100,000 - $120,000, which will vary depending on how well an applicant's skills and experience align with the job description listed above.
We will accept applications until 5/25/2025.
Our Fantastic Benefits
We offer company-wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, tuition reimbursement, certification reimbursement, certification completion bonuses, and a relaxed dress code - 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.
No recruitment agencies, please.
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