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
