Accounting Data Science Specialist Required

For an upcoming project, I am seeking an experienced Data Scientist who is particularly adept in R studio. The project involves approximately 3.5 million entries from an accounting firm's datasets and should follow the CRISP-DM framework.

Responsibilities:

- Data cleaning and preprocessing: Ensuring data is correctly formatted and that outliers, missing values, or inaccuracies are dealt with.
- Exploratory data analysis: Extracting insights from the datasets, visualizing trends and discovering correlations.
- Model development and evaluation: Carrying out predictive modeling and anomaly detection. Specifically, identifying potential financial transaction anomalies.

More about the project:

The goal is not predefined and can range from predictive modeling to anomaly detection based on what is discovered in the exploratory data analysis.

Ideal Skills:

- Proficiency in R Studio and understanding of data mining and the CRISP-DM framework
- Experience in data cleaning, preprocessing, and exploratory data analysis
- Strong skills in model development and evaluation
- Background in accounting or finance would be advantageous to comprehend potential anomalies in the financial transactions data.

The deadline for the project is mid-May.