Senior Data Scientist - SaaS-based B2B Marketing Technology

San Francisco, CA

Posted: 08/08/2017 Industry: Software Engineer Job Number: 22902

Job Description

Category : Software Engineer
Location/City : CA - San Francisco
Area Code : 415
Job Type : 1: Full Time
Country/Locale : USA
Id : 22902

#22902 Senior Data Scientist NLP - SaaS-based B2B Marketing TechnologyLocation: San FranciscoCompany
What do industry leaders like Adobe, American Express, Box, and SAP have in common? They all use our client's solutions to power their targeted business-to-business (B2B) marketing efforts. With a roster of loyal, blue-chip customers that's growing every day, they're in a phase of pre-IPO growth and building the team that will take them to the next level, which includes moving past legacy to create new core technologies with a focus on AI, ML & NLP/NLU. If you thrive on innovation and working with the best in industry, you're probably a good fit.
Our client has built a group of talented individuals with deep expertise in the domain area of business applications and building large complex systems with simple user interfaces. They also have deep expertise in big data technology such as IR, NLP, and large graphs and utilize the best technology to provide innovative and novel products to frustrated end-users in the enterprise.As the Senior Data Scientist, you'll be responsible for developing and testing hypotheses on behavioral responses in B2B marketing, creating models that extract data from, among others, website, digital advertising, and CRM solutions into actionable insights, and defining leading edge thinking on how analytical frameworks can be applied to predictive marketing.You'll deal with a large number of known problems with NLP such as relation extraction, NER, cross-document summarization, natural language understanding, natural language generation, topic modeling, and entity linking/disambiguation. Your job will to be develop new technologies, improve on existing technologies, and build these tools into enterprise-level software. You will be both hands-on and strategic with both a broad ecosystem-level understanding of our market space and the ability to work closely with engineering and product teams to deliver software in an iterative, continual-release environment. This is a high-visibility position involving close collaboration across functional groups and with executive stakeholders at customers like the ones mentioned above.Why you want to join the team:
-Be at the cutting edge of NLP technology
-Be part of an experienced team in machine learning, natural language understanding, deep learning, graph theory, and enterprise applications with intimate knowledge of the domain
-Help to introduce mainstream NLU into enterprise applications
-You would have access to a unique set of data capturing all interactions between businesses, which is sought after by many researchers.
-They are uniquely positioned with significant intellectual propertyResponsibilities:
-Define: Work with customers and internal stakeholders to define hypotheses and models. We are dealing with all aspects of Business-to-Business sales and marketing problems and first to apply data science to them.
-Document: Write clear, concise descriptions of how insights can be converted into repeatable actions.
-Test: Continually iterate your models and refine assumptions, data sources and more.
-Communicate: Drive understanding and buy-in among all stakeholders at all levels.Requirements:
-PhD in Computer Science, Math, Statistics, or a related field
OR Masters in related field with 2+ years industry experience using NLP and machine learning
-Strong background in algorithms and dealing with large-scale data problems
-Experience with Hadoop or Spark or other large-scale data processing platforms
-Experience with SQL or NoSQL databases
Proven ability to solve problems using state of the art technology
Proven ability to innovate when necessary, but not reinvent the wheel
-Proven ability to solve problems using NLP and machine learning in an industry settingSkills:
-Imagination beyond what has been done before
-Experimental yet able to create something useful
-Flexibility to deal with ambiguity in requirements
-Hands on, and not afraid to wear multiple hats
-Passion for career growth and development into a leadership position
-Ability to provide technical guidance and leadership to other engineers
Contact:Jon Piggins / Redfish TechnologyExecutive Recruiter, IT Sales & MarketingO: 208-788-8260E: jon[at]redfishtech[dot]comL: www.redfishtech.comRedfish Technology Building Growth-Mode Tech Companies with Hand-Picked Talent.

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