1+ months

Data Scientist, Work Environment Analytics

South San Francisco, CA
  • Jobs Rated

Department:                   Workplace Effectiveness

Job Family / Category: Work Environment Analytics

Position:                          Work Environment Analytics Data Scientist

Location:                        South San Francisco, CA

The Work Environment Analytics Data Scientist will report to the Director of Work Environment Analytics.  This role presents a unique opportunity to apply data science to help Genentech build the workplace of the future. Inform the design of the Physical Work Environment, Social Agreements and Technology (e.g. advanced sensor technologies / IoT) so Genentech employees can be at their best when serving patients. 

The ideal candidate has experience applying data science to impact business outcomes, and enjoys pushing the boundaries to innovate.

You will conduct analyses and develop models utilizing a variety of statistical, machine learning, pattern recognition, and artificial intelligence algorithms to support Site Services to make evidence based business decisions that ensure employee productivity and well-being as well as operational efficiency.

You will partner with a data engineer in IT on designing and implementing our data and data pipeline architecture, optimizing data flow and collection across Workplace Effectiveness and Site Services, as well as evolving our IoT strategy.

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 $1B+ worth of capital by 2022.      


  • Serve as a subject matter expert on experimental design, execution, and analysis across Site Services and broader Genentech/Roche
  • Leverage data to discover patterns and solve strategic analytic business problems
  • Execute sophisticated analyses and advanced modeling that result in actionable recommendations
  • Collaborate with subject matter experts across WE and the business
  • Lead and contribute to data integrity and data forensics efforts
  • Provide coaching and training on use and interpretation of data / metrics
  • Define requirements and work with local and global Informatics (IT) to design, build and maintain the Site Services Analytics platform
  • Design and implement self-service reporting tools (e.g. Tableau)
  • Partner in the selection / development and implementation of advanced building and collaboration technologies (e.g.sensors) and build AI / machine learning solutions that capitalize on data to drive employee productivity / well-being and operational efficiency
  • Support selection or development of apps that turn data into tools for employees
  • Identify opportunities to further build out our IoT strategy


  • Degree in Computer Science, Engineering, Psychology, Statistics, or technical field or equivalent experience
  • Business Experience 10+ 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, statistical analysis, machine learning, and predictive modeling to drive insights from data
  • Demonstrated experience in bridging business requirements and technical development

Specialized Knowledge / Skills

  • Experimental design and analysis, including validating questionnaires, designing surveys, and conducting multilevel modeling
  • Data-oriented scripting (e.g. SQL) and statistical programming (e.g., R or python)
  • Classical statistics and machine learning approaches to fitting models (e.g., ensembles, bootstrapping) and estimating their performance (e.g., cross-validation)
  • Developing shared code (e.g., version control, programming patterns, libraries/packages) and creating data pipelines
  • Experience working with Cloudera
  • Experience using web services, such as AWS, and big data toolkits
  • Experience working with Tableau

Desirable (not required)

  • 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)


Jobs Rated Reports for Data Scientist

Posted: 2018-10-26 Expires: 2019-01-26

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Data Scientist, Work Environment Analytics

South San Francisco, CA

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Data Scientist
7th2018 - Data Scientist
Overall Rating: 7/220
Median Salary: $111,840

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