Early Warning is looking for a data scientist to deliver machine learning and artificial intelligence concepts from start to finish, collaborating with senior technical and business leaders to solve business problems, quantify model value, and deploy models to deliver business results.
Requirements
- Able to write Model development technical documents.
- Willingness to troubleshoot system/data issues hindering the analytics environment functionality.
- Experience using data visualization tools.
- Able to write production level code, which is well-written and explainable.
- SAS, Python, SQL or R programming training or experience.
- Experience applying various machine learning techniques and understanding the key parameters that affect their performance.
- Experience using ML-related libraries, such as scikit-learn, pandas, etc.
Responsibilities
- Produces standard and ad hoc analytic reports.
- Assists with developing, testing, and documenting open-source codes for data analysis and modeling.
- Performs data analysis tasks, which include programming data transformations, interpreting results and investigating root causes.
- Participates in the creation of Internal model validation procedures, supporting external Model Validations, and performing regular model validation as part of the Model Risk Management program.
- Explore and aggregate data independently to uncover data anomalies that impact algorithm performance
- End to end feature engineering - brainstorm, create, validate, down-select, etc.
- Write production level code in a dynamic, fast paced environment
Other
- Bachelor’s Degree in Engineering, Mathematics, Statistics, Computer Science, Operational Research or related field or equivalent work experience.
- A minimum of 2 years data science, engineering, mathematics, or related work/ intern/ course experience is required with Bachelor's degree or Master's degree without experience (or some internship)
- Ability to effectively communicate findings from complex analyses to non-technical audiences. Ability to communicate with various levels of employees within the department and proven technical and analytical skills.
- Ability and adaptability to work on multiple projects concurrently, manipulate large data sets and produce business-relevant results.
- Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.
