Data Scientist

Key Skills

Aartificial intelligence, AWS, Data science techniques, Deep Learning, Design, Google Cloud Platform (GCP), Machine learning techniques, Natural Language Processing (NLP), Python Programming, QlikView, R Programming, Statistics, Tableau

Job Description

Role Overview

The Data Scientist role has significant hands-on experience developing predictive models and a strong track record in designing experiments, driving organizational measurement strategies, and building Machine Learning (ML) and Artificial Intelligence (AI) driven applications and products. The role will be responsible for and own the delivery of delivering predictive models to anticipate future skills needed across the organization to deliver on business outcomes, and to develop automated scalable approaches to connect the learning dataset with business and people data to demonstrate the connection to individual and organizational performance. This will include utilizing a large range of data sources (both structured and unstructured) as well as AI/ML algorithms to find patterns and automate the process of forecasting future skills needs. The Data Scientist candidate has a strong bias for action, is able to operate independently, and is a great communicator, innovator, and visionary.

Key Responsibilities:

• Design measurement strategies for internal and external stakeholders on key enablement metrics while developing and applying insights to continually improve the business
• Manage and guide data science and data engineering elements of AI/ML projects
• Help stakeholders 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, learning, and talent-related questions using multiple data sources and technical tools.
• Act as subject matter expert for applicable data science and other advanced analytical methodologies, programs, and projects, particularly in AI/ML.
• Collaborate within cross-functional teams to develop efficient machine learning based applications, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision-making
• Openly share perspective and insights to elevate team thinking and drive a balanced, holistic point of view; effectively weigh and communicate trade-off considerations.
• Take an enterprise mindset, linking individual responsibilities with broader organization; focus on outcomes that provide the most business value.
• Demonstrate a bias for execution, self accountability, and results ownership.
• Look for opportunities for continuous improvement; engage managers and peer groups regularly for coaching, assistance, and advocacy.
• Act as a thought partner and advisor to all relevant teams and stakeholders; look for and establish opportunities for peer mentorship.
• Lead, act and live our Operating Principles in all aspect of work
• Comply with all laws, regulations, policies and procedures that govern the conduct of Genentech activities

Qualifications/Experience:

• Bachelor's degree in relevant discipline: Data Science; Computer Science; Applied Mathematics, Statistics, Economics, Engineering or related field, with a focus on Artificial Intelligence (AI) or Machine Learning (ML)
• 7+ years of relevant industry work experience
• 3+ years experience in the application of NLP and Text Analytics to enterprise data, with demonstrated ability to drive tangible results
• Demonstrated proficiency in most of the following quantitative fields: NLP, Deep learning, Applied Statistics, Causal Inference, A/B Testing, and Design of Experiments
• Demonstrated proficiency in large complex datasets, statistical software, deep learning, NLP models, libraries and packages
• 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.)
• Strong knowledge of secondary data sources including learning data in learning record stores, business data stored in Oasis, and talent related data in HR systems is preferred
• Proficiency using ML in a variety of contexts such as revenue attribution and optimization, text classification, clustering etc. 
• Experience with data visualization tools such as Tableau or Qlik
• Experience acting as a strategic thought partner to teams; demonstrated ability to solve problems and think outside the box.
• Proven 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

Our Operating Principles

• Put Patients First: I always act as if patients I know are in the room and do what's best for them.
• Follow the science: I seek answers through experiments, data and debate, and act on facts.
• Act as one team: I care, collaborate and commit without boundaries, and trust others to do their part.
• Embrace differences: I seek diverse perspectives, invite opposing views, and challenge myself and others.
• Accelerate learning: I push to learn new things even if difficult, and openly share my successes and failures.
• Simplify radically: I eliminate complexity, reuse with pride, and accomplish more with less.
• Make impact now: I take accountability to do what's right, deliver value fast, and don't wait for certainty.
• Think long term: I choose actions today that benefit future generations

The expected salary range for this position based on the primary location of South San Francisco, CA is $159,700.00 - $296,500. 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.