We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products

Responsibilities:

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance

Skills and Qualifications

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
• Great communication skills
• Proficiency in using query languages such as SQL
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good scripting and programming skills 
• Data-oriented personality
• Master to PhD degree in statistics, mathematics required

SHYFT Analytics, a Medidata company, is the leading platform for commercial and real-world data analytics, with products designed specifically for the pharmaceutical, biotech, and medical device industry. SHYFT’s data analytics platform is the most efficient and scalable way to transform massive amounts of complex healthcare data into on-demand clinical and commercial insight. SHYFT is headquartered in Boston with offices in San Francisco and New York City. Learn more about SHYFT at www.shyftanalytics.com, or follow the company on Twitter @SHYFTAnalytics or LinkedIn.