Sr Data Scientist 35812

• Work experience in programming, coding, system design and architecture, algorithms and data structures
• Experience with statistical software, coding languages (e.g. R, MATLAB, SAS, Python) and database languages (e.g. SQL)
• Experience articulating business questions and using programming techniques to establish business solutions
• Able to develop solutions to routine technical problems
• Demonstrated skills in selecting the right tools given a problem
• Excellent communication skills: oral and written. Interacts effectively with variety of communication and working styles.
• Fully bilingual in Spanish and English
• Detailed technical proficiency with strong logical, problem solving, and conflict resolution
• Demonstrated leadership skills, initiative and self-motivation.
• Excellent time and project management skills to deliver projects on time and budget.
• Ability to communicate analysis in a clear, precise, and actionable manner.
• Great teammate with strong negotiation skills to work with multidisciplinary teams that relies on collaboration for effective decision-making
• High quality and compliance mind set to work in a highly regulated GMP industry.
• Computer literacy (Windows environment: Word, Excel, Power Point, Minitab)

• Leading, using and developing data science, machine learning, and artificial intelligence capabilities across commercial organization.
• Leading the projects and be part of cross functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value.
• Taking the initiative and work independently with minimal supervision.
  Identifying business needs, doing SWOT analysis, proposing potential analytical approaches for solutions, obtain approvals and the execute the work end to end.
• Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python.
  Working with SQL and other DB query languages.
• Leading, collaborating and communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions.
• Presenting analysis ideas, progress and results to business partners in clear and impactful manner.
• Creating powerful stories in PowerPoint. Well versed in MS Office suite specifically Excel and PowerPoint.
• Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets.
  
  

Education:

Doctorate OR Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR High school/GED + 10 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience