Senior NLP Data Scientist - VERUSEN | Sunnyvale, CA

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. The ideal candidate has 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 absolutely encouraged to apply for either Junior or Intern positions.

Perks Flexible remote work, unlimited PTO, health/dental/vision plans, 401k, and equity option grants are available to full time data scientists at Verusen. Our Mission & You Verusen’s vision is to build an intelligent, connected supply chain.

Through years of well-meaning but haphazard information systems design, it is frequently the case that sharing information across the supply chain is incredibly difficult. Put simply, different parts of the supply chain refer to the same part in different and sometimes ambiguous ways. Our mission is not only to resolve these links, but to provide our customers with recommendations for those parts that are most at risk. Investors • 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. i O. What you will do: • Assist in the design of new experiments in our natural language processing pipelines. • Assist in the development of new NLP pipelines including data collection (including working with annotators), data extraction, data cleaning, exploratory data analysis, evaluative metric selection, baseline modeling, prototype modeling, error analysis, production modeling, and ongoing production support.

• 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 a large number of customers on our platform and on the future of a rapidly growing company. Responsibilities: • Creatively ideate on modifications to existing tasks and new tasks, while maintaining a focus on customer value and practical application.

• Experiment, build, maintain, and iterate on NLP pipelines. • Create, maintain, collaborate, and implement scientific and coding standards. Nice to Haves: • Python - including libraries like Tensorflow (or Py Torch), 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. Qualifications • Masters Degree, Ph. D. 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 Sci Py 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. Additional information Commitment to Diversity and Inclusion At Verusen, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, interaction, national origin, age, physical and mental disability, interactionual orientation, gender identity and/or expression, status as a veteran and any other characteristic protected by applicable law.

We respect and seek to empower each individual and support a diverse culture, perspectives, skills, and experiences within our workforce. We believe that diversity and inclusion among our teammates are critical to our success, and we seek to recruit, develop and retain the most talented people from a dive candidate pool.

For more information about the Company, check us out at . "