Data Scientist

• Utilize technologies to collect, clean, analyze, predict, and effectively communicate information
• Prepare both structured and unstructured data for analysis
• Able to examine data sets and determine the best end-to-end analysis plan to address key business questions and create value for the client
• Conduct advanced statistical analysis to determine trends and significant data relationships
• Develop machine learning models to apply test data algorithms to future data
• Validate models/analytical techniques, and develop algorithms to execute analytical functions
• Works with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need.
• Proactively identifies opportunities for significant operational, process or system level product improvements.
• Communicate model logic and restrictions
• Work closely with the business to understand the domain and iteratively refine analyses
• Transform analytical results into actionable recommendations for business partners using deep industry knowledge, * Coach and mentor junior data scientists and provide technical/analytical guidance when needed
• Provides input into developing departmental and site processes and procedures.
• Guide and otherwise contribute to technical teams in development, deployment and application of applied analytics,
• predictive analytics, prescriptive analytics, etc.

• Education
• Education Level Major/Field of Study Or
• Education Level
• Bachelors Degree (* 16
• years)
• Computer Science, Data Analytics or
• similar discipline including
• Mathematics, Statistics, Physics, or
• Engineering is preferred
• Advanced degree in Life or Physical Science, Bioengineering, Biomedical Engineering or closely related discipline is preferred

Experience/Background

• Minimum 4 years work related experience with degree or sufficient transferable experience 1
• demonstrate functional equivalence to a degree
• Advanced Experience with programming scripts such as Python, Java, Scala, C++ in Linux/Unix, and R
• Experience in applying data analysis techniques to a large set of data using big data systems such as Hadoop, Spark, MongoDB, or similar software
• Advanced analytics knowledge and application in the field of Statistics
• Mathematical programming
• Business acumen and experience with operational or strategic systems