Data Scientist I — ML & Analytics (Hybrid)

Early Warning (Zelle); Scottsdale (AZ); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Early Warning is seeking a data science team member to deliver cutting-edge ML/AI concepts from problem framing to deployment. The role involves data aggregation, modeling, validation, and monitoring to quantify model value for customers and to manage risks.

The ideal candidate has at least 2 years in data science or related fields, strong Python/SAS/SQL skills, and experience communicating complex analyses to non-technical audiences. Hybrid work options in multiple cities are available.

Qualifications

• Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Operational Research or related field or equivalent work experience.
• Minimum of 2 years data science, engineering, mathematics, or related work/ internship/ course experience.
• Ability to write Model development technical documents.
• Willingness to troubleshoot system/data issues hindering analytics.
• Experience using data visualization tools.
• Ability to write production level, explainable code.
• Experience SAS, Python, SQL or R programming.

Responsibilities

• Produce standard and ad hoc analytic reports.
• Develop, test, and document open-source codes for data analysis and modeling.
• Perform data analysis tasks including transformations and root-cause investigation.
• Participate in internal model validation procedures and external validations.
• Explore and aggregate data to uncover anomalies affecting model performance.
• End-to-end feature engineering from brainstorm to validation and down-selection.
• Write production-level code in a dynamic environment.
• Apply machine learning techniques to business problems to find optimal approaches.
• Collaborate with Product and Engineering to identify trends and opportunities.
• Explain results and visualize model performance to non-technical stakeholders.
• Support data/system security and confidentiality.

Skills

Data analysis

Communication

Production code

Multi-tasking

Problem solving

Education

Bachelor's degree in STEM/CS/OR

Master's degree preferred

Tools

SAS

Python

SQL

R

scikit-learn

pandas

Job description

Early Warning is seeking a data science team member to deliver cutting-edge ML/AI concepts from problem framing to deployment. The role involves data aggregation, modeling, validation, and monitoring to quantify model value for customers and to manage risks.

The ideal candidate has at least 2 years in data science or related fields, strong Python/SAS/SQL skills, and experience communicating complex analyses to non-technical audiences. Hybrid work options in multiple cities are available.