Data Scientist - Python (US Remote)

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 8 years experience
• MS or equivalent plus 3 years experience
• Ph.D. or equivalent plus 2 years experience
• Professional experience with Python, including Python data libraries (numpy, pandas, matplotlib, scikit-learn, etc)
• Build machine learning models (training, validation, and testing) with appropriate solutions for data reduction, sampling, feature selection, and feature engineering
• Design and evaluate experiments (including hypothesis testing) by creating key data sets
• Help grow the Data Science function by defining and socializing best practices, particularly within a DataOps and MLOps data ecosystem
• Document every action in either issue/MR templates or READMEs so your learnings turn into repeatable actions and then into automation
• Familiarity with the CRISP-DM analytics development model
• Experience working with a variety of statistical and machine learning methods (time series analysis, regression, classification, clustering, survival analysis, etc)
• Understanding of SQL in data warehouses (Snowflake and dbt) and in business intelligence tools (Looker)
• Extensive knowledge, application, and experience in creating and implementing recommendation systems, machine learning, NLP, statistics, and deep learning
• Ability to quantify improvements from business efficiency or customer experience based on research outcomes
• Expert understanding of statistics and the math behind data science algorithms
• Identify and spearhead new data science initiatives, projects, and collaborations that improve results
• Willingness to experiment and confront the hardest or most complex problems

The base pay for this position ranges from $110,000 - $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 for the next 30 days.

Our Fantastic Benefits

We offer company-wide monthly bonuses, employee referral bonuses, 401k matching (US), fully paid medical insurance (US), open/generous paid time off (length varies by country), parental leave (length varies by country), adoption assistance, tuition reimbursement, certification reimbursement, certification completion bonuses, gym benefits, and a relaxed dress code - all in a modern, high-tech, and fun work environment. For more details about our benefits, 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.