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