Data Scientist for Search and Relevance
7 days ago
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.
SalaryWe are offering an annual salary of $120,000 - $160,000, depending on experience, to join our team as a Data Scientist.
Job DescriptionWe 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.
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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