Data Scientist Engineer

To be successful in this role you will need to, Be familiar with Data Engineering techniques to gathers, prepare, cleanse, and transforms client data for analysis and AI automation, including automating data pipelines

Essential Functions

• Demonstrate strong business acumen and ability to understand business problems, formulate hypotheses and test conclusions to influence solution design

• Leverage a variety of structured and unstructured data sources, analytics, AI tools, and programming languages to derive meaningful data insights (e.g., Python, R, Spark, TensorFlow, Jupyter, etc.)

A Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.

• Masters degree in Mathematics, Statistics

• Operationalize machine learning models

• Programming for Python , R , SAS

• Visualize customer’s analytics data in Power BI or Tableau