Data Scientist

• 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 step
• 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

Payrange - 50$/hr. - 60$/hr.

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually – as applicable.