Data Science Manager
Remote
Posted on 3/11/2023
INACTIVE
KnowBe4

1,001-5,000 employees

Security platform for security awareness
Company Overview
KnowBe4 enables your employees to make smarter security decisions, every day.
Cybersecurity
Data & Analytics

Company Stage

N/A

Total Funding

$701.6M

Founded

2010

Headquarters

Clearwater, Florida

Growth & Insights
Headcount

6 month growth

0%

1 year growth

6%

2 year growth

25%
Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Power BI
Agile
Python
NoSQL
Data Science
R
Data Structures & Algorithms
SQL
Postgres
Tableau
MongoDB
Looker
Data Analysis
Snowflake
CategoriesNew
Data & Analytics
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
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
Desired 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