As a Data Scientist, you will apply machine learning models and advanced analytics to a large variety of business problems:

Collaborate with business stakeholders to identify high value predictive modeling use cases
Work with engineering team to set-up necessary infrastructure and processes to support predictive analytics
Develop, maintain, and continuously improve analytical models that support ongoing business needs
Leverage technologies such as BI and GIS visualization platforms, as well as modern developer tools to deliver excellent analysis to stakeholders
Lead educational efforts to help the firm operationalize predictive analytics
Keep abreast on the latest technologies and analytics approaches, attending conferences or other events as needed

Become the subject matter expert for leveraging data science at Cortland
Help build an Analytics Center of Excellence at Cortland to support our investment and operational strategies

Advanced degree in a STEM-related field (e.g. ops research, statistics, applied math, engineering, business analytics)
2+ years of related professional experience
Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms
Demonstrated proficiency in Python and SQL; additional knowledge of other data mining software (Spark, Scala, etc.) is a plus
Knowledge of the major cloud platforms (AWS, Azure) and associated analytical and data tools (Databricks, EMR, RDS, S3)
Experience working with a large volume of data with ability to solve performance issues
Basic business intuition and clear expertise in analyses; experience describing analytic processes including when and why specific approaches are favored
Excellent communication and presentation skills with an ability to visualize and report insights creatively in variety of formats to various stakeholders

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