Text Analytics/NLP Technical Project Manager

TeraCrunch, LLC is a fast-growing Big Data Predictive Analytics startup located in the Kansas City Metro area working with many of the premier corporations in the midwest region. We’re looking for technically-savvy, self-motivated individuals who can function will in a fluid, fast-paced environment.

As a Text Analytics/Natural Language Processing Technical Project Manager, you’ll work with our experienced data science team to bring big data analytics products to our clients. As a member of our startup team, the individual will have to be flexible and wear many technical hats, but primary responsibilities include:

Manage projects in the area of unstructured text information extraction (or “Data Normalization”) for TeraCrunch – which involves a combination of applying

TeraCrunch’s next-generation text analytics engine plus customization for particular applications

Monitoring and optimizing engine performance

Working with our data science team to implement and optimize a variety of realtime text analytic projects

Experience, Education & Skills:

3+ years industry or university experience with one or more of NLP, machine learning and knowledge engineering based software systems

Master’s degree in Computer Science or Informatics, especially with a concentration in at least one of NLP, machine learning or semantic technologies

Strong hands on experience and familiarity with technologies such as text analysis tools (UIMA, GATE), Lucene and SolR, NLP tools, machine learning classifiers (Weka/Mahout/Mallet), and databases (SQL, NoSQL and graph).

Excellent communication skills.

Our preference is for candidates in the Kansas City Area, or who are willing to relocate. However, we’re willing to explore remote options with the right candidate. There is also an opportunity to start part-time and work flexible hours. We offer attractive stock options and the opportunity to grow with a talented startup in an exciting market.

Qualified candidates should contact Dr. Kevin Payne, Co-Founder and Lead Data Scientist.

E-mail Id:- This email address is being protected from spambots. You need JavaScript enabled to view it.

Phone No. 816-582-8124