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Data Scientist

EMC
Palo Alto - United States
S: Competitive

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 (MPP) database and Hadoop, Pivotal is committed to pioneering data-intensive analytic processing across this integrated technology stack. Pivotal is proud to have the industry-leading Data Science Team, which is able to span a wide variety of advanced analytics techniques, open-source tool-kits, partner solutions, and vertically-driven use-cases. This global team develops new methodologies and tools to enable advanced modeling and statistical analysis against petabyte-scale data sets.

Global demand for the services Pivotal's Data Science team provides is spiking across leading vertical and horizontal markets, with especially strong demand emerging for security-related applications of advanced analytics. In response, Pivotal is looking for a seasoned leader of advanced analytics initiatives within the security sector to help lead our customer engagements and build thought leadership for this key market. The Pivotal Principal Data Scientist for Security & IT Data Science will partner directly with her/his colleagues and team-members to successfully deliver on exciting new applications of predictive modeling and machine learning in security use-cases, but also to drive recruiting and go-to-market strategies for the build-out of our offering in IT-centric capabilities. Examples of applied machine learning will include firewall/infrastructure monitoring, malware protection, web server attack detection, advanced persistent threat detection, etc.

Similarly, this critical role will help Pivotal customers make sense of the new paradigms of in-database analytics, advanced forms of analytics on top of Hadoop, and the breadth of analytical tools available through Pivotal's Platform. Working with her/his team, this role will drive the build-out of sector-specific use-case demonstrations of predictive models built on our distributed computing stack.

Most importantly, the Principal Data Scientists for Security & IT will build new sources of data-driven innovation and value for our customers and prospects while proving the analytical capabilities of Pivotal's technology stack. Together, they will help customers respond to their top-priority business goals by introducing new ways to tap their exploding data assets, combining a robust integrated technology stack and advanced forms of machine learning and data mining.


Responsibilities:
Partner directly with Data Science leadership and regional field, Pivotal R&D, and customers/prospects to establish a robust vision for the build-out of Pivotal's Security/IT Data Science capabilities.
While managing existing team members, lead the recruiting and onboarding of a larger Data Science team that addresses analytical knowledge requirements.
Drive evangelization and education of Data Science services to Pivotal's sales force, in particular educating the field on how to communicate the vision and value of advanced analytics, how to qualify interested prospects, and how to propose Data Science services.
While working with customers and prospects, leverage significant experience directly working with data to define analytics use-cases that address customer requirements for value generation, and partner with Data Scientists to execute on these.
Advise customers and prospects on technology and tool selection to best meet their emerging analytics requirements and to best drive value-generation on existing and future data.
Lead relationship development and technology evaluation for new prospective regional analytics-centric partnerships.
Work directly with customers to educate them on Pivotal's technologies, analytical use-cases, pros/cons of emerging tools, etc.
Assist in customer engagement management, requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management with regional customers.
Travel, as needed, to meet with customers (roughly 15-20%).

Requirements:
10+ years of experience in the Security sector and a proven passion for generating insights from data, with a strong familiarity with the higher-level trends in data growth, open-source platforms, and public data sets.
A proven track record of building the function of data science, analytics as a service, or teams of data miners / machine-learning practitioners
5 to 10 years of experience in managing small to mid-sized teams, preferably in a services function.
Significant experience evangelizing the value of data analytics to broad audiences.
At least 10 years of work in a related role within the Financial Services sector, showing strong understanding of industry players, vertical market trends, and status of data utilization.
Strong knowledge of statistical methods generally, and particularly in the areas of modeling and machine learning
Experience working with a variety of statistical languages and packages, including R, S-Plus, SAS and Matlab, MLLib, etc.
Experience working with relational databases and/or distributed computing platforms, and their query interfaces, such as SQL, MapReduce, PIG, and Hive.
Preferably, experience working hands-on with large-scale data sets
Familiarity with additional programming languages, including Python, Java, and C/C++.
Experience leveraging visualization software and techniques (including d3 and Tableau), and business intelligence (BI) software, such as Microstrategy, Cognos, Pentaho, etc.
Technical knowledge of distributed computing platforms, and common data process flows from data instrumentation & generation, to ETL, to the data warehouse itself.
Advanced degree (PhD or Masters) in an analytical or technical field (e.g. applied mathematics, statistics, physics, computer science, operations research)
A strong business-orientation, able to select the appropriate complex quantitative methodologies in response to specific business goals
A team player, who is excited by and motivated by hard technical challenges
Results-driven, self-motivated, self-starter
Excellent written, verbal, and presentation skills in English
Ability to travel as-needed to meet with customers

Job summary

Employer:

EMC

Location:

Palo Alto, United States

Education:

PhD/Doctorate

Sector:

Econometrics

Salary:

Competitive

Job Type:

Permanent

Hours:

Full-Time

Posted:

4th May 2016

Apply By:

2nd June 2016

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