Data Scientist - Predictive Analytics

Key Skills

Java Programming, Leadership, Python Programming, C++, Framework, SQL, Machine learning techniques, Data science techniques, Deep Learning, Data Modeling, Natural Language Processing (NLP), R Programming, SAS

Job Description

• Partner with business/research teams to identify, scope, and execute analytics efforts that answer business/scientific questions, solve business/scientific needs, and add value
• Maintain a broad understanding of the pharmaceutical business and consumer analytics and be fully engaged with the consumer analytics team, bringing an objective voice to the table, and facilitating decisions grounded in data
• Collaborate with other analytics team members to review and provide feedback on the analytics being done, and be willing to seek feedback from other team members about your own work
• Stay current with respect to statistical/mathematical/informatics modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected
• Collaborate with others to design, develop and deploy enterprise-level analytics capabilities/solutions
• Perform cutting edge research in an area of data science such as forecasting, machine learning, optimization, or natural language processing

Basic Qualifications

• PhD in Statistics, Econometrics, Operations Research, Computer Science, Engineering, Mathematics or closely related field or masters with at least 6 years of relevant experience
• Deep and broad knowledge of statistical modeling and data mining methods and/or optimization methods
• Proficiency with relevant programming languages (such as R, Python, SQL, SAS, Java, C++, etc...)
• Agility and flexibility to work with very diverse problems and business partners
• Ability to work with diverse data sources and data types
• Self-management skills with a focus on results for timely and accurate completion of competing deliverables

Additional Skills/Preferences

• Strong leadership and communication skills
• Publications in leading journals or conferences
• Advanced knowledge of machine learning methods in processing unstructured data
• Experience in deep learning frameworks

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