As the Senior Data Scientist you will be responsible for reducing vast and disparate data sets into categorized and useful summaries and reports. In addition you will be responsible for translating data into meaningful insights to help improve user outcomes and experiences, drive product development, and support overall business activities.
The successful candidate will work closely with the project manager and technical leads to meet deliverables and assist in data-driven development of world-class software products.
He/she will also work with the project architect to develop to industry and company standards. Suggests product and project features that understand and meet customer and business needs based on data analysis of product usage patterns and activity.
You will work as part of a strong, close knit team and contribute to a positive team working environment and team.
Preferred experience and technology requirements:
Experience using data analysis techniques like predictive (regression) modeling or pattern/machine learning algorithms (like MLP, RBF, SVM, or k-NN)
Data analytics experience working with a variety of data sources
Working knowledge of data analysis algorithms in all major areas including clustering, association, dimensionality reduction, anomaly detection, prediction, and regression
Experience working with data analysis tools (e.g. R, SAS, Weka, etc.)
Experience with machine learning including supervised or unsupervised learning techniques and algorithms (e.g. k-NN, SVM, RVM, Naïve Bayes, Decision trees, etc.) is a plus
Experience with R, Weka, Pentaho is a plus
Experience with Hadoop, MapReduce, GridGain, or HPCC is a plus
Programming experience and the ability to develop data processing scripts is beneficial
Open source or community experience is beneficial
A background in Healthcare is beneficial.
Elsevier is the world's leading provider of scientific, technical and medical (STM) information, tools and resources. A global company based in Amsterdam, Elsevier partners with scientists, researchers, healthcare providers, educators and decision-makers in academic institutions, governments and corporations to help them find, evaluate and use information. Our breadth of content is unparalleled, spanning virtually every STM field in the world and includes such distinguished brands as Gray's Anatomy, The Lancet and Cell. Using innovative technology, we deliver our content through tools that help our customers be more productive and successful in their work. ScienceDirect delivers the worlds' leading journals electronically to over 11 million readers in 200 countries. And physicians in 95 percent of teaching hospitals rely on ClinicalKey to get critical information that can save lives.
Elsevier employs over 7,000 people in more than 70 offices worldwide. We are an employer of choice, attracting and developing talented and creative people who thrive in a challenging and fast-paced environment. We offer an excellent compensation and benefits package as well as a real opportunity for career growth in a growing organization. Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact 1.877.734.1938 or firstname.lastname@example.org.