Sr Data Scientist Hybrid Onsite Required

Essential Duties and Responsibilities:
Builds and validates analytics solutions utilizing large scale data from multiple data sources and ensures adoption of the model. Drives continuous improvement to the existing solution.
Understands complex business needs and identifies potential use cases in more than one business unit.
Performs the analysis and mining of very large quantities of data using a deep knowledge of a specific domain to find patterns and insights utilizing statistical software
Writes code for the scope of work being done. Assists in development of data science standards for the department.
Identifies data that is necessary to complete the analysis and improve the validity, predictability, and accuracy of models.
Interprets, communicates, and presents analytic results to C-Level executives and below
Consistently collaborates with fellow data scientists and frequently interacts with business partners, project managers, cross-functional teams, key stakeholders, and other domains to build analytics capabilities and drive business value.
Continually strengthens knowledge of analytical methods, vendors, and tools and shares knowledge by participating in best practice sharing opportunities

Qualifications:
4-6 years of data science experience
Strong knowledge/ability in simulation, linear programming or optimization projects
3 years of programming experience in Python and able to demonstrate proficiency at an advanced level.
Ability to work with large data sets from multiple data sources.
Ability to communicate complex analytics concepts and techniques to C-Level executives and below
Ability to work collaboratively with other data scientists and multiple stakeholders across business unit(s) and with external partners.
Intellectual curiosity, a passion for data and a results orientation.

Educational Requirements:
Master's degree in a quantitative field including but not limited to data science, analytics, and statistics.

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