Principal Data Scientist

Job Location: San Mateo, CA

If you are looking for a career where your services will be in high demand, you should find something where you provide a scarce, complementary service to something that is getting ubiquitous and cheap. So what’s getting ubiquitous and cheap? Data. And what is complementary to data? Analysis.

– Prof. Hal Varian, UC Berkeley, Chief Economist at Google.

Building the world's largest multi-technology distributed computing platforms, leveraging massively parallel processing and Hadoop, Pivotal is committed to pioneering data-intensive analytic processing. We are looking for talented individuals to join our growing analytics solutions team, which is developing a fundamentally new approach to how business generates value from data. This team will develop new methodologies and tools to enable advanced modeling and statistical analysis against petabyte-scale data sets.

Our Data Scientists create new sources of data-driven innovation and value for our customers and prospects while proving the analytical capabilities of Pivotals’s technology stack. They help customers respond to their top-priority business goals by introducing new ways to tap their exploding data assets, using statistical methods, machine learning, and predictive models. Pivotal Data Scientists develop new practices and methodologies for working with the Pivotal data warehouse technology, often working closely with leading academics and industry experts. They also work with industry-leading engineers to create new tools and features that support sophisticated analytics within the database.

Pivotal is aggressively building out its Data Scientist team and is looking for the best and brightest subject-matter experts across verticals and analytical techniques. If you bring a deep focus and passion for a particular specialization within analytics (e.g., text or sentiment analytics, network/graph analytics, time series modeling, etc.), or a key vertical market (i.e., life sciences, digital media, energy, etc.) we would love to talk to you!

Responsibilities:

• Use techniques from supervised and unsupervised machine learning, statistical analysis and predictive modeling to deliver business insights to prospects and customers based on data stored in Pivotal data warehouses.

• Work directly with customers to educate them on “moving beyond BI” and training their internal resources to execute advanced forms of analytics.

• Create re-usable implementations of statistical tests and models using the available technologies.
• Work with the academic and business community to develop new techniques and to contribute to research in the area of advanced analytics on large databases.

• Generate new product requirements for the Pivotal engineering group to enhance the analytics capabilities of the database.

• Assist in customer engagement management, requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management.

Job ID: 108870BR

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