Data Scientist

SoftPathTechnologies; Cupertino (CA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

SoftPathTechnologies in Cupertino is seeking a Data Scientist to drive business-focused product analytics for financial-style products. Hybrid work arrangement requires three days in the office each week.

The role emphasizes SQL and Python, experience with big data environments (Spark) is a plus, and designing robust A/B tests. Strong communication, critical thinking, and the ability to translate analytics into actionable recommendations are essential.

Qualifications

• 5-7 years of experience in Data Science with a focus on business-facing product analytics.
• Strong proficiency in SQL and Python; Spark experience desirable.
• Experience designing and interpreting A/B tests and measuring efficacy.

Skills

SQL

Python

AB Testing

Data Analysis

ML concepts

Communication

Critical thinking

Self-starter

Tools

Spark

Job description

Hi,

Role: Data Scientist

Location: Cupertino, CA (hybrid 3 days in office)

MINIMUM QUALIFICATIONS

• 5-7 years of experience in Data Science, with a strong focus on business-facing product analytics; financial products experience is a plus
• Strong proficiency in SQL and Python; experience querying and extracting data from big data environments (Spark) highly desirable
• Experience designing and interpreting A/B tests, including control group setup and efficacy measurement
• Working knowledge of when and how to apply AI/LLM capabilities to business problems, with the ability to communicate those recommendations to business partners (this is not a deep ML/AI engineering role)
• Strong critical thinking skills, able to take an ambiguous problem statement and break it down into smaller, actionable steps
• Demonstrated experience applying statistical rigor and machine learning techniques to derive insights from large, complex data sets
• Strong communication and presentation skills
• Self-starter who can drive projects with little supervision

PREFERRED QUALIFICATIONS

• Proficiency with Tableau or similar BI/visualization tools
• Equal parts business and technical savvy