We are looking for an experienced machine learning / natural language processing data scientist to join a new and exciting team focused on delivering advanced analytics solutions in the electronic discovery and compliance industry. The advanced analytics team is at the center of providing insights and predictions in support of new strategic offerings and products, bringing real value to our clients through analysis of data.
As part of Xerox Legal Business Services you will work on developing the analytics-as-a-service platform, Created by Xerox scientists and legal experts the platform gives corporate counsel and law firms’ real-time visibility into the millions of documents they review and classify for their litigation, investigation and regulatory compliance matters.
You will have a proven track record of being able to tackle tough problems, bringing the right algorithmic solutions to large data sets, ensuring that any solution accurately fits the business problem at hand. As important is the ability to work as part of a growing team, being open-minded across a range of problems and techniques and a willingness to learn from and contribute to the team.
Xerox has a diverse services business, processing large amounts of data in domains which include healthcare, finance, transportation and customer care, among others. We also have world-leading research and development in all aspects of data, text and visual analytics across through five research centers across the globe.
•Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets
•Build methods for document clustering, topic modeling, text classification, named entity recognition, sentiment analysis, and POS tagging
•Perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices
•Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process
•Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients
• Visualize data to tell compelling stories
•Knowledge of Machine Learning, NLP, Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems and real data
•Experience working with big data systems and big data concepts
•Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists
•Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment
•Experience with noisy and/or unstructured textual data
•Strong coding ability with statistical analysis tools in Python or R, and general software development skills (source code management, debugging, testing, deployment, etc.)
•Working knowledge of various text mining algorithms and their use-cases such as keyword extraction, PLSA, LDA, HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modeling
•Strong understanding of text pre-processing and normalization techniques, such as tokenization,
POS tagging and parsing and how they work at a low level.
•Excellent problem solving skills.
•Strong verbal and written communication skills
Education and Experience
• Masters or higher in data mining or machine learning; or equivalent practical analytics / modelling experience
• Practical experiences in using NLP related techniques and algorithms
• Proven track record of analyzing data and bringing value across a range of projects
• Experience in Greenplum and MadLib highly desirable
• Experience in open source coding and communities desirable
How to apply:
Please mention NLP People as a source when applying