The Position

WHO WE ARE

The Commercial Data Science (CDS) team is committed to delivering innovative AI/ML products and platforms to help transform our ways of working and enable us to deliver an Integrated Customer Experience (ICX) to our patients, customers and communities.

The Opportunity

We are looking for a data scientist with an extensive track record in building Recommendation Systems. The ideal candidate will have significant hands-on experience developing predictive models. An excellent Principal Data Scientist in the CDS team is independent, a great communicator, innovative and visionary.

• The Principal Data Scientist will lead and guide data science elements of AI/ML projects.

• Drive the development and deployment of Enterprise Recommendation Engines to generate value from structured and unstructured data for the Commercial and Medical organizations.

• Develop a deep understanding of customers and market dynamics, and apply your technical skills to advance that knowledge and guide the organization, delivering products that help create an integrated customer experience and drive impact.

• Help partners define clear, impactful business priorities, and where possible, use their own expertise or existing analysis/research to influence and guide.

• Apply ML and applied statistics approaches to answer a variety of complex business questions using multiple data sources and technical tools.

• Collaborate within cross-functional teams to develop efficient recommendation systems, gain alignment and deliver impactful business insights; engage necessary partners to enable better decision-making

• Openly share perspective and insights to elevate team thinking and drive a balanced, integrated point of view; optimally weigh and communicate trade-off considerations.

Who You Are

• You have a Bachelor’s Degree or preferably an MS or PhD in Data Science; Computer Science; Applied Mathematics, Statistics, Economics, Engineering or related field

• 7+ years of experience in Artificial Intelligence and Machine Learning

• 3+ years working with the application of Recommender Systems to enterprise data to drive tangible results

• Experience in quantitative fields: Deep learning, Reinforcement Learning, Causal Inference, A/B Testing, Multi-armed Bandits, and Design of Experiments

• Proficiency in open source libraries and packages such as Spark, TensorFlow, Keras, PyTorch to solve Enterprise problems

• Deep proficiency in modeling techniques such as content based filtering, collaborative filtering, clustering etc.

• Foundational knowledge in Deep Learning (open source frameworks like Tensorflow, Keras and/or PyTorch) with applications focused on Recommendation Engines (such as feed forward neural networks, convolutional neural networks, or recurrent neural networks)

• Experience working with large, complex data using Hadoop or Spark or any other big data platforms

• Proficiency with industry-standard programming languages such as R or Python

• Experience with other data science and cloud-computing tools and platforms (AWS, GCP, etc.)

• Proficiency using ML in a variety of contexts, particularly text classification and clustering across CMG use cases (medical, commercial and digital)

• Experience with data visualization tools such as tableau, and/or qlik, and/or data studio etc

• Experience acting as a strategic thought partner to teams; ability to solve problems and think creatively.

• Consistent track record of leadership, time-management, project management, and teamwork; Strong attention to detail

• Experience translating research or analysis to communicate (in presentations and in writing) concise and compelling business stories that influence decisions and strategy

• This position is located in South San Francisco and relocation benefits are not available.

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Preferred Skills

• Educational focus on Artificial Intelligence (AI) or Machine Learning (ML)

• Transferable skills across multiple industries

• Strong knowledge of secondary data sources including syndicated sales, promotional & marketing data, longitudinal patient level data; experience with payer data

The expected salary range for this position based on the primary location of CA is $207,500 - $385,300. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.