Data Science Manager (Remote)

Remote

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KnowBe4, Inc.

KnowBe4 provides Security Awareness Training to help you manage the IT security problems of social engineering, spear phishing and ransomware attacks.

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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 private parties at theme parks, there is always something exciting happening at KnowBe4.

Remote positions open to the US only.

The individual in this role is responsible for leading Data Science teams to develop data science and machine learning products, communicating complex concepts to both technical and non-technical audiences.

Responsibilities:

  • Leads a data science team that builds machine learning data models and algorithms to optimize products and processes
  • Recommends solutions to data science problems
  • Hire, promote, discipline, and terminate subordinate employees, or suggest and recommend hiring, promoting, disciplining, and terminating subordinate employees to which the Company gives significant weight  

Preferred Qualifications:

  • Master's Degree with 5+ years of data science/advanced analytics experience or a Ph.D. with 2+ years of advanced analytics experience (Degree in Operational Research, Mathematics, Engineering, Statistics, Economics, Data Science, Computer Science, Data Analytics or related field).
  • The ideal candidate should have a healthy level of curiosity, be a strong communicator, and possess the ability to tell the story of data results and insights.
  • Fluid understanding of economics, with a solid foundation in statistics, and the ability to seek and solve quantitative problems through data modeling.
  • Preferred expertise with statistical languages such as R and/or Python.
  • Strong understanding of statistics and probability: distributions, experimental design, variance analysis, A/B testing, probability theory, stochastic systems, and Bayesian inference .
  • Expertise with various statistical modeling algorithms such as regression, clustering, ARIMA, decision trees, Time Series, Neural Networks, and scenario simulation/modeling.
  • Working experience with database systems (e.g. SQL, NoSQL, Snowflake, MongoDB, Postgres, etc.).
  • Data visualization and dashboard development experience, with tools such as Looker, Tableau, Power BI, or similar applications.
  • Working experience with data transformation tools such as dbt.

Requirements:

  • BS or equivalent plus 3 years technical experience
  • Leveraging big data sets to drive predictive and prescriptive insights in various areas of Knowbe4 business. 
  • Use various analytical methods such as predictive modeling, text mining, machine learning, statistical forecasting, optimization, and simulations to develop and implement advanced statistical and econometric decision support systems.
  • Perform data wrangling, ETL/ELT, and data exploration tasks while leveraging large volumes of structured and unstructured data.
  • Manage projects across the lifecycle, and collaborate with various groups to gather, curate, and build data sets needed to successfully construct the foundation of our Analytical Models. 
  • Develop subject matter expertise on internal and external sources of information. 
  • Stay up to date with the industry trend to gain knowledge of the latest hardware and software, emerging technologies, and analytic techniques to ensure Knowbe4 is utilizing state-of-the-art tools. 
  • Ability to work in fast paged agile development environment

The base pay for this position ranges from $150,000 - $170,000, which will vary depending on how well an applicant's skills and experience align with the job description listed above.

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.

Tags: A/B testing Agile Bayesian Big Data Clustering Computer Science Data Analytics Data visualization Economics ELT Engineering ETL Looker Machine Learning Mathematics MongoDB NoSQL PostgreSQL Power BI Predictive modeling Probability theory Python R Research Security Snowflake SQL Statistical modeling Statistics Tableau Testing Unstructured data

Perks/benefits: Career development Health care Insurance Medical leave Parental leave

Region: Remote/Anywhere
Job stats:  29  3  0
Category: Leadership Jobs

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