South San Francisco, California
The Site Services Data Scientist will report to the Director of Digital Innovation & Analytics. This role presents a unique opportunity to apply data science to help Genentech build the workplace of the future. The Data Scientist will support all Site Services business functions: Site Operations, Environment, Health & Safety (EHS), Workforce Services, Workplace Effectiveness, Security & Resilience and Strategy & Business Operations with insights gained from analyzing company data. Inform the design and operations of the Physical Work Environment, Employee Services 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 data engineers in IT on designing and implementing our data and data pipeline architecture, optimizing data flow and collection across Site Services, as well as evolving our IoT strategy.
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 Site Services 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)
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
Design and implement data driven automation efforts
BA/BS degree in Computer Science, Data Science, Analytics, Engineering, Psychology, Statistics, or technical field or equivalent experience
Business Experience 2+ 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
Good communication skills - ability to communicate on technical content and data with non-technical business stakeholders
Specialized Knowledge / Skills
Data-oriented scripting (e.g. SQL) and statistical programming (e.g., Python / R)
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 AWS (S3, EC2, Redshift, Sagemaker, Forecast, etc.), and big data toolkits
Experience with computer vision and natural language processing
Experience working with Tableau, Qlikview a plus
Experience with table design joins, data aggregation, data validation
Desirable (not required)
Experience working with Facilities data / smart building technologies
Experience working with HR / organizational people data
Experimental design and analysis, including validating questionnaires, designing surveys
Architecture background/experience working with architects, space planners and interior design specialists
Publicly available examples of code (github, etc) or projects (websites, decks, publications)
This position is not eligible for relocation
Genentech, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. To solve the world's most complex health challenges, we ask bigger questions that challenge our industry and the boundaries of science to transform society. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis.
Diversity and Inclusion (D&I) are critical to the success of our company and our impact on society. We believe that by championing diversity of background, thought and experience, we can foster a sense of belonging and provide an environment where every employee feels valued, included, and able to contribute their best for the patients we serve. We’re focused on attracting, retaining, developing and advancing our people to their full potential by rewarding bold ways of thinking and integrating inclusive behaviors into every aspect of our work.
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Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page.
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