Job Description

Experience: . Use of core statistical methods such as correlation analysis, hypothesis testing, etc. . Application of machine learning methods, from feature engineering to validation . Experience with programming for data science in languages such as

Experience: . Use of core statistical methods such as correlation analysis, hypothesis testing, etc. . Application of machine learning methods, from feature engineering to validation . Experience with programming for data science in languages such as Python . Strong communication skills and the ability to relay and simplify complex concepts About Wolters Kluwer Wolters Kluwer N.V. (AEX: WKL) is a global leader in information services and solutions for professionals in the health, tax and accounting, risk and compliance, finance and legal sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services. Wolters Kluwer reported 2016 annual revenues of 4.3 billion. The company, headquartered in Alphen aan den Rijn, the Netherlands, serves customers in over 180 countries, maintains operations in over 40 countries and employs 19,000 people worldwide. Wolters Kluwer shares are listed on Euronext Amsterdam (WKL) and are included in the AEX and Euronext 100 indices. For more information about our solutions and organization, visit www.wolterskluwer.com, follow us on Twitter, Facebook, LinkedIn, and YouTube. EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. INFORMATION For any assistance with your application for this job opening, please call the HR Source at (888) 495-4772 or email [HIDDEN TEXT]. TTY is also available at (888) 495-4771