Data Scientist

Job Description

• MS in Math, Statistics, or Computer Science

• Knowledge of fundamental descriptive and inferential statistics models.

• Strong computational/programming skills: proficient in programming with R, Python, SQL or equivalent, knowledge of a variety of commercial computational packages, familiar with Linux, AWS, cloud computing and high performance computing environment.

• Knowledge of data visualization tools such as Spotfire or Tableau.

• Good team player with demonstrated ability to build effective working relationships within and across sites with customers and partners.

• The flexibility to balance many projects and customers simultaneously.

• The ability to be independent and learn new skills quickly.

• Demonstrated ability to independently develop and deploy statistical / computation applets using Python and R.

• Exceptional oral and written communication skills

• Coursework in a scientific discipline (chemistry, biology, engineering).

• Prior experience working in pharmaceutical research and development.

• Experience in ML/AI development and deployment.

• Experience in text mining.

• Hands-on experience applying a wide variety of statistical machine learning techniques to real world problems spanning analysis, predictive modeling and optimization on structured and unstructured data

• Experience using tools such as Python, R, or equivalent for statistical modeling of large data sets

• Well-developed written and oral communication skills with ability to present complex statistical concepts to non-analytical stakeholders (Excel, Word and PowerPoint are a must)

• Software engineering experience in C/C /C#/Java/Scala or similar object oriented or functional languages is highly regarded but not a prerequisite

• Excellent SQL (and or similar language Ex: Python) and data analysis skills

• Experience working with large data volumes and data complexity

• Experience with quality assurance activities and test case development

• Strong interpersonal and leadership skills

• Business acumen, for example, in understanding the problem, formulating hypotheses and testing conclusions to determine appropriate methods to influence strategic choices through data.

Job Features