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NLP Developer

Charlotte, North Carolina;

Job Description:

Responsible for performing complex analysis and modeling. Utilizes a variety of systems including, but not limited to Excel, Access, Visual Basic, SAS, and InfoQuest at an intermediary level. Provides analytical support on various strategies to ensure company goals are met. Coordinates the production of performance reports and updates for senior management. May utilize established databases and big data sources to provide statistical and financial modeling. Analyzes portfolio trends, concerning risk, loss trends, marketing performance, portfolio dynamics, and bureau scoring criteria. Will participate in the rollout of company-wide pilot programs developed as a result of programmed models. Duties primarily include the regular use of discretion and independent judgment. 2-5 years of experience preferred.

Job Description

The Enterprise Process Oversight Reporting and Analytics team designs and develops reports and processes which drive daily business decisions. Qualified individuals should have a keen interest in combining data from multiple sources to create reporting, help drive decisions, and are passionate about breaking down complex business problems and providing well-design data science solutions which make a significant impact. Must have a passion for building NLP (natural language processing) algorithms from scratch, leading large NLP efforts, teaching / explaining how NLP algorithms work, comfortable with extreme documentation, and should love improving the way people consume information. Must be comfortable with investing full self to build an NLP shop from scratch. Must be excited to be part of a fast pace organization, and enjoy the idea of understanding the root driver of our customers need in order to improve their financial lives. Having a background in machine learning (Data Robot), deep learning is valued.

Required Skills

  • 4 - 6 years of professional experience in NLP programming
  • NLP programming in R and or Python / Anaconda
  • Heavy programming skills; linguistics, text mining/ data mining
  • Demonstrated background in NLP and machine learning. Preference for degrees in computer science, information retrieval, statistics, applied math, or other quantitative field
  • Demonstrated track record of publication in peer reviewed journals and conferences
  • Track-record of having developed novel algorithms
  • Has demonstrated experience working with large data sets in Hadoop and traditional SQL databases
  • Solid background in statistical learning techniques for NLP (HMMs, CRFs, SVMs, LDA, LSI,MRFs)
  • Must have ML/NLP algorithm implementation experience as well as the ability to create /modify standard algorithms (e.g. change objectives, work-out the math and implement)
  • Experience in deep learning - phonetics (valued)
  • Experience in one or more of the following areas: entity/relation extraction, information extraction, summarization, semantics, document classification, ontology, question answering, and knowledge graph
  • Experience on modern deep learning approaches to NLP: word/paragraph embedding’s, structured prediction, sentiment analysis, disambiguation
  • Ability to consistently deliver results across shifting priorities and deadlines in fast paced environment
  • Ability to work with a ‘sense of urgency’ in order to meet critical deadlines
  • Detail oriented with strong investigative and problem solving skills
  • Strong communication skills, both verbal and written
  • Ability to proactively engage in a teamwork culture

Desired

  • Advanced degree in Data Science with a focus in NLP valued
  • Bilingual: English and Spanish
  • Ability to code and communicate fluently in English and Spanish
  • Ability to indirectly manage peer level associates who are part of problem solving teams
  • Background in teaching NLP algorithms to beginners and advanced Data Scientists

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-19081968

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Referral Bonus: