Data Scientist III — Predictive Modeling & Impact

Snap Finance US; West Valley City (UT); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Generous paid time off

Competitive medical, dental & vision coverage

401K with company match

Company-paid life insurance

Access to wellness resources

Job summary

Snap Finance US is seeking a Data Scientist III to enhance its analytics department. This role focuses on leveraging statistics and machine learning to support Sales and B2B Marketing.

The ideal candidate will have a robust skill set in data mining, experimental design, and stakeholder interaction, with an M.S. in a quantitative field. Join us for a chance to work in a dynamic environment and contribute to improving access to finance.

Competitive benefits include 401K, medical coverage, and generous paid time off.

Qualifications

• Minimum of 3-5 years working in a data science position or related role.
• M.S. in quantitative fields such as Statistics, Computer Science, or similar.
• Expertise in R or Python for modeling.

Responsibilities

• Analyze large datasets using predictive modeling techniques.
• Design experiments to evaluate business performance.
• Compile data to assess business impact.

Skills

Data Mining and Modeling

Experimental Design

Business Impact Analysis

Stakeholder Interaction

SQL Skills

Python or R

Statistical Analysis

Education

M.S. in quantitative fields

Tools

SQL Databases

Hadoop

Apache Spark

Job description

Snap Finance US is seeking a Data Scientist III to enhance its analytics department. This role focuses on leveraging statistics and machine learning to support Sales and B2B Marketing.

The ideal candidate will have a robust skill set in data mining, experimental design, and stakeholder interaction, with an M.S. in a quantitative field. Join us for a chance to work in a dynamic environment and contribute to improving access to finance.

Competitive benefits include 401K, medical coverage, and generous paid time off.