Senior Data Scientist

The ideal candidate will love working with data; be extremely curious; have good analytical intuition; want to get their hands dirty; want to lead a small, innovative team that directly affects the bottom line; and want to work from an ownership perspective by operating cross-functionally to implement solutions.

Candidate will have experience and knowledge in the following areas:

significant experience in leading a team of advanced analysts is very important to this job. This will involve guiding and assessing their work, teaching them skills, identifying new skills for them to acquire, and managing their projects within the larger scope of the company’s needs.

significant experience in data analysis and advanced statistical modeling. The person needs to have used advanced data mining and modeling to support/drive business decisions and then implemented the findings within a business process used in the company. It is also beneficial if the candidate has experience with natural language processing and blockchain technologies.

Below are some of the analytical tools the person should know well or have used.

• Advanced statistical techniques: OLS Regression, Logistic Regression, MNL Regression, Survival analysis, Bayesian analysis, Boosting, Random Forest, SVM
• Statistical/reporting/Analytical tools:
  Python, R, Qlik, Excel (advanced experience at using Excel to do simulations)