Data Scientist for Search and Relevance

7 days ago


Raleigh, North Carolina, United States Disability Solutions Full time
About Us

LexisNexis Legal & Professional is a global leader in providing information-based analytics and decision tools for professional and business customers. With over 11,800 employees worldwide, we serve customers in more than 150 countries.

Salary

We are offering an annual salary of $120,000 - $160,000, depending on experience, to join our team as a Data Scientist.

Job Description

We are seeking a highly skilled Data Scientist to focus on search and develop next-generation search relevance techniques and strategies for LexisNexis. As a key member of our team, you will work on solving challenging problems in natural language processing, machine learning, and information retrieval.

  • You will research, build, and deploy models based on both shallow and deep machine learning techniques.
  • You will apply machine learning techniques to improve search algorithms and drive best practices for NLP/Machine Learning pipelines.
  • You will maintain current knowledge of state-of-the-art ML algorithms and be able to quickly evaluate alternatives.
Requirements

To be successful in this role, you will need:

  • In-depth understanding of machine learning techniques such as classification, clustering, recommendation systems, and statistical models.
  • Experience using Machine Learning and associated packages like scikit-learn, pandas, NumPy.
  • Proficiency training large scale models in at least one modern deep learning engine such as TensorFlow, Keras, PyTorch/Torch, MXNet, Caffe/Caffe2.
  • Minimum 5 years of experience using NLP tools and methods such as OpenNLP, Stanford NLP, LDA, Gensim, spaCy.
  • Minimum 5 years recent coding experience using Python AND/OR (Java OR Scala).
  • SQL programming experience.
  • Ability to design and work within complex data models.
  • Strong skills in setting, communicating, implementing, and achieving business objectives and goals.


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