Required Technical and Professional Expertise
- Data Extraction and Manipulation: Ensures sound data usage for meaningful result interpretation. Experience with discovery & extraction of various data types relevant to a project.
- Coding for Data Science: Ensures robust & reproducible implementation of algorithms and experiments. Deep experience with python libraries.
- Statistics, Machine Learning, and AI: Builds expertise in tools & techniques to evaluate trust and transparency. Masters use of data science platforms and tools
Preferred Technical and Professional Expertise
- Knowledge of data tools, basic statistics, machine learning, advanced math, data manipulation.
- A solid foundation typically in statistics, modeling, operations research, computer science and applications, and math.
- Strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge.
- Effective at deploying an analytics solution, thereby realizing business value.