Data Scientist

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Description
Pitney Bowes is a leading provider of customer communication technologies. A $5.3 billion company with over 28,000 employees, we serve both large corporations and small-to-medium-sized businesses in more than 100 countries. Our software, equipment and services help businesses communicate more effectively in today's multi-channel environment. The Strategic Technology & Innovation Center (ST&IC) is a research organization within Pitney Bowes chartered with technology leadership and collaborating with lines of business to create innovative products and services for our customers.

You will work with a dynamic, forward-thinking group of experienced scientists and professionals across a select range of research areas. The Strategic Technology & Innovation Center (ST&IC) includes teams working in the areas of Data Mining and Analytics, Privacy and Security, Mobile and Context-aware Technology, and Emerging Internet Technologies (Social Media analytics and Semantic Web). We scientists and engineers at ST&IC are passionate about what we do, and it's infectious. If you are passionate about your ideas and are looking for an environment where they can take hold, come help us shape our mission and vision. We are a fast moving and lean group working in an environment where you'll find opportunities rather than boundaries in every single role.

The Data Scientist that we are looking for is someone who:

• Enjoys immersing themselves in data and takes true delight in discovering, exploring and validating insights contained within
• Brings curiosity and creativity along with business, analytics, computer, and persuasive communication skills to the challenges they face.
• Possesses intellectual curiosity, data-oriented mindset, comfort with ambiguity, and a passion to solve problems that matter.
• Balances academic rigor and business pragmatism
• Communicates their ideas in a clear and concise manner to diverse audiences.

• MA/MS or equivalent in Computer Science, Computer Engineering, Electrical Engineering, Mathematics or Statistics. Ph.D. a plus
• Minimum three years applied experience in data science, or data mining and analytics, with proven success track record.
• Experience with Big Data technologies such as Hadoop, MapReduce, Cassandra.
• Ability to deal with ambiguity and uncertainty with a degree of maturity.
• Ability to construct stories from insights with complete or partial data, using familiar or unfamiliar data sources
• Experience with multivariate statistics (regression, principal components analysis and clustering), data-driven predictive model development.
• Working knowledge of R, Python, Ruby, Matlab, JAVA, C++/C, SQL, SAS, SPSS or equivalent
• Familiarity with experimental design concepts and practices
• Experience with pattern recognition, fuzzy logic systems, anomaly and novelty detection, and data-driven predictive model development.

• Develop modeling and decision making capabilities that lead to the generation of knowledge enabling new business opportunities for Pitney Bowes.
• Develop state-of-the-art rule algorithms to operate on very large data and to provide robust assessment and predictive value in data.
• Advocate and promote the understanding and adoption of data science within the Pitney Bowes enterprise environment as a data science subject matter expert.
• Elucidate the value of data science technologies to alternative approaches to non-expert seniors. And must be able to converse with other experts as peers and maintain a level of respect that allows effective inter-organization collaboration.
• Share knowledge by clearly articulating ideas through papers and presentations to technical staff, management and decision makers. Publish research findings in peer-reviewed journals, conferences and workshops.
• Identify and articulate new technologies and research trends and assess their business impacts on Pitney Bowes

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