Data Science Manager (Remote)

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.