Job description

Duties:
The ideal candidate has experience applying data science to impact business outcomes, and enjoys pushing the boundaries to innovate.
You will conduct analyses utilizing a variety of statistical methods, and build automated reports and tools for viewing data. The goal will be to support Workplace Effectiveness to make evidence based business decisions that ensure employee productivity and well-being as well as operational efficiency.
Working with senior decision-makers in the company, your contributions will have a high level of visibility, and will enable our team to have a profound impact on the global organization.
Impact of decisions will contribute to Site Services determining how to shape (USD)1B+ worth of capital by 2022.

Responsibilities

Leverage data to Client patterns and solve strategic analytic business problems
Execute sophisticated analyses that result in actionable recommendations
Collaborate with subject matter experts across WE and the business
Contribute to data integrity and data forensics efforts
Define requirements and work with local and global Informatics (IT) to extend and maintain the Site Services Analytics platform
Design and implement self-service reporting tools (e.g. R-Shiny, Tableau, R, Python)
Identify opportunities to further build out our IoT strategy
Business Experience 5+ years of experience in data related fields - experience with research programs that seek practical/predictive (rather than only statistical) significance is particularly valued
Experience working with large, complex data systems to aggregate, organize, and prepare data for use in business analysis
Extensive background in data mining and statistical analysis to drive insights from data
Demonstrated experience in bridging business requirements and technical development

Skills:
Specialized Knowledge / Skills
Data-oriented scripting (e.g. SQL) and statistical programming (e.g., R, with Python as a plus)
Classical statistics
Experimental design and analysis, including validating questionnaires, and designing surveys
Developing shared code (e.g., version control, programming patterns, libraries/packages) and creating data pipelines
Experience building R-Shiny apps

Desirable (not required)
Experience using web services, such as AWS, and big data toolkits
Machine learning approaches to fitting models (e.g., ensembles, bootstrapping) and estimating their performance (e.g., cross-validation)
Architecture background/experience working with architects, space planners and interior design specialists
Experience working with HR / organizational people data
Publically available examples of code (github, etc) or projects (websites, decks, publications)

Education:
Degree in Computer Science, Engineering, Psychology, Statistics, or related technical field or equivalent experience

Languages:
English Read     Write    Speak

Skills: