Xerox is the worlds leading enterprise for business process and document management. Its services, technology, and expertise enable workplaces from small businesses to large global enterprises to simplify the way work gets done so they operate more effectively and focus more on what matters most: their real business. Xerox offers business process outsourcing and IT outsourcing services, including data processing, healthcare solutions, HR benefits management, finance support, transportation solutions, and customer relationship management services for commercial and government organizations worldwide. The company also provides extensive leading-edge document technology, services, software and genuine Xerox supplies for graphic communication and office printing environments of any size. Xerox serves clients in more than 160 countries. For more information, visit or
If you meet the requirements of this position and want to work for a world-class company with a great marketplace reputation, apply today.
Data Scientist
Role and Responsibilities
In collaboration with the Xerox or non-Xerox data scientists, develop, enhance, and maintain statistical models that generate new business insights or deliver predictive services to Xerox clients.
Understand complex computational and statistical techniques used to develop novel approaches for data analyses.
Expert with a statistical analysis tool such as R, Octave, MATLAB, KNIME, Julia, Python, and SAS; design machine learning models for data discovery and predictive insights.
Collaborate and communicate with software developers in the translation of research model to production code.
Translate and effectively communicate complex concepts to a broad audience.
Partner with the stakeholders to understand the business drivers, immediate and long-term opportunities, and identify solutions.
Collaborate and communicate with data integration teams when data quality issues are discovered.
Maintains appropriate knowledge of clinical and financial systems used across the healthcare continuum.
Xerox Services
Required Skills
5+ years demonstrated ability to employ analytic software tools, statistical methodologies, and Business Intelligence to large data sets residing within relational or object oriented databases
Advanced SQL skills
Strong written and verbal communication skills
Strong Programming skills and experienced with object oriented languages
Preferred Skills
Ability to educate and mentor Analytics team members
Experience with PMML
Experience with NLP
Experience with scripting language
Experience with large transactional data sets and high volume data
Experience with temporal data
Experience with prescriptive analysis
Concrete experience with the following methods:
Classification-(Decision Trees, Logistic Regression, Neural Net, SVM, Random Forest)
Regression-(linear, Nonlinear, Boosted Regression Trees, Hierarchical)
Clustering-(K-means, Fuzzy C-means, Hierarchical Clustering, Mixture Modeling)
Time-Series- (AR, ARMA, GARCH)
Master Degree
Senior (5+ years of experience)
Please mention NLP People as a source when applying
Tagged as: Business Intelligence, Classification, Data Mining, Industry, Machine Learning, Master Degree, United States
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