Company Description Verusen is a leading technology company that uses artificial intelligence to provide visibility, digitization and prediction of materials data and inventory for complex supply chains. The company’s AI software harmonizes disparate material data across ERP instances/systems while providing trusted data across the enterprise to reduce costs. Intelligent controls enforce inventory procedures to help prevent future inventory spikes, while predictive capabilities optimize allocation and procurement needs. The result is a data foundation you can trust to move quickly to innovate and support related Industry 4.0 initiatives. Verusen’s vision is to build the intelligent, connected supply chain. This enables global supply chains to trade demand signals, digital goods, and digital materials data across their supply chain network...powered by a trusted intelligence they need to run their global organizations. Currently, the company focuses on asset intensive global operations and customers include leading CPG, Food and Beverage other F500 Organizations. Verusen is Venture backed with investors including, Glasswing Ventures (Boston), Flyover Capital (KC), Zetta Venture Partners (SF), Kubera VC (SF) and Engage Ventures (ATL). They are currently a Signature Company @ Georgia Tech’s Advanced Technology Development Center (ATDC). Their partnerships include SAP, Accenture, and are a portfolio company of SAP.iO. Job DescriptionVerusen is seeking a Data Scientist with a focus on natural language processing and information retrieval. This person will be responsible for the end-to-end design, implementation, and monitoring of NLP pipelines.&nbsp; The ideal candidate has significant experience as the technical lead of NLP pipeline development. This can be from academics, personal projects, competitions, open source, or professional work. Additionally, the applicant is expected to have a strong theoretical foundation in classical and modern NLP techniques. Highly motivated but less qualified or experienced candidates are encouraged to apply for either Junior or Intern positions.&nbsp; As a Data scientist in any position at Verusen, you will be supported by several highly skilled data scientists, including those specializing in NLP. You will have available to you: a weekly study group, design review forums, code reviews, as well as access to annotators and several tasks to sharpen your skills. As a member of a small team, your work will have a direct impact on both the large number of customers on our platform and on the future of a rapidly growing company. Qualifications <ul>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Masters degree or higher preferred. Less traditional candidates will be seriously considered based on the strength of their portfolio.&nbsp;</li>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Statistics: theoretical foundation in various common distributions, MAP/MLE, bayes, probability theory.</li>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Familiarity with some statistical analysis software/library like SciPy or SPSS, SAS, R, etc.</li>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Natural Language Processing</li>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Data engineering: SQL, Spark, Hadoop.&nbsp;</li>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Various classifiers: Deep learning (including very modern approaches), forest based classifiers, linear models, SVMs.&nbsp;</li>
</ul>&nbsp;Nice to Haves<ul>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Python - including libraries like Tensorflow (or PyTorch), Sci-Kit learn, Pandas, and Numpy.</li>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Experience creating production code including object oriented programming principles.</li>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Unit &amp; integration testing</li>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Experience with algorithmic design, complexity analysis, mathematic / scientific computing.&nbsp;</li>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Experience with supply chains.</li>
</ul>

**Company Description**

  

Verusen is a leading technology company that uses artificial intelligence to
provide visibility, digitization and prediction of materials data and
inventory for complex supply chains. The company’s AI software harmonizes
disparate material data across ERP instances/systems while providing trusted
data across the enterprise to reduce costs. Intelligent controls enforce
inventory procedures to help prevent future inventory spikes, while predictive
capabilities optimize allocation and procurement needs. The result is a data
foundation you can trust to move quickly to innovate and support related
Industry 4.0 initiatives.

  

Verusen’s vision is to build the intelligent, connected supply chain. This
enables global supply chains to trade demand signals, digital goods, and
digital materials data across their supply chain network...powered by a
trusted intelligence they need to run their global organizations. Currently,
the company focuses on asset intensive global operations and customers include
leading CPG, Food and Beverage other F500 Organizations.

  

Verusen is Venture backed with investors including, Glasswing Ventures
(Boston), Flyover Capital (KC), Zetta Venture Partners (SF), Kubera VC (SF)
and Engage Ventures (ATL). They are currently a Signature Company @ Georgia
Tech’s Advanced Technology Development Center (ATDC). Their partnerships
include SAP, Accenture, and are a portfolio company of SAP.iO.

 ****  

 **Job Description**

Verusen is seeking a Data Scientist with a focus on natural language
processing and information retrieval. This person will be responsible for the
end-to-end design, implementation, and monitoring of NLP pipelines.

  

The ideal candidate has significant experience as the technical lead of NLP
pipeline development. This can be from academics, personal projects,
competitions, open source, or professional work. Additionally, the applicant
is expected to have a strong theoretical foundation in classical and modern
NLP techniques. Highly motivated but less qualified or experienced candidates
are encouraged to apply for either Junior or Intern positions.

  

As a Data scientist in any position at Verusen, you will be supported by
several highly skilled data scientists, including those specializing in NLP.
You will have available to you: a weekly study group, design review forums,
code reviews, as well as access to annotators and several tasks to sharpen
your skills. As a member of a small team, your work will have a direct impact
on both the large number of customers on our platform and on the future of a
rapidly growing company.

 ****  

 **Qualifications**

  

  * Masters degree or higher preferred. Less traditional candidates will be seriously considered based on the strength of their portfolio. 
  * Statistics: theoretical foundation in various common distributions, MAP/MLE, bayes, probability theory.
  * Familiarity with some statistical analysis software/library like SciPy or SPSS, SAS, R, etc.
  * Natural Language Processing
  * Data engineering: SQL, Spark, Hadoop. 
  * Various classifiers: Deep learning (including very modern approaches), forest based classifiers, linear models, SVMs. 



Nice to Haves

  * Python - including libraries like Tensorflow (or PyTorch), Sci-Kit learn, Pandas, and Numpy.
  * Experience creating production code including object oriented programming principles.
  * Unit & integration testing
  * Experience with algorithmic design, complexity analysis, mathematic / scientific computing. 
  * Experience with supply chains.

