Associate Data Scientist

present of AI; New York (NY); On-site; USD 75,000 - 120,000; Full time

Job summary

Jerry, an AI-powered platform for insurance shopping and car ownership, seeks a data analytics professional in New York. The role is hands-on: break ambiguous business questions into testable parts, pull and interpret data, build reports, run experiments, and push data-driven recommendations into real decisions.

Able to demonstrate SQL or Python fluency and a habit of measuring data quality, you will help frame the right questions and explain findings to skeptical stakeholders in the AI era.

Qualifications

• At least 1 year of analytical work from consulting, banking, or a fast-growing tech company.
• Comfort with SQL or Python and the judgment to know which questions matter.
• Hands-on role—build reports, run experiments, and push recommendations through to decisions.

Responsibilities

• Take fuzzy business questions and break them into testable pieces.
• Pull, clean, and interpret data to answer business questions.
• Build reports and dashboards; run experiments; communicate findings to stakeholders.

Skills

SQL

Python

Job description

This role asks for someone who can take a fuzzy business question, break it into testable pieces, and then pull and interpret the data to answer it. A strong candidate brings at least a year of analytical work from consulting, banking, or a fast growing tech company, plus comfort with SQL or Python and the judgment to know which questions matter. The job is hands on, so the person should be ready to build reports, run experiments, and push recommendations through to real decisions.

How it fits the AI era

The company runs on AI to compare insurance options and manage car ownership, so the data work here feeds products that are already automated. Much of the routine pulling and reporting can be sped up with AI tools, which shifts the human contribution toward framing the right question, judging data quality, and explaining findings to skeptical stakeholders. The judgment and persuasion parts stay firmly with the person.

How it builds AI experience

Working here means seeing how AI driven insurance shopping and asset management generate data at scale, and learning to measure and improve those flows. A candidate can build relevant experience by practicing SQL and Python on messy real world datasets and by studying how pricing and recommendation systems are evaluated. Familiarity with experiment design and metrics for consumer finance products would help before applying.

Worth showing

• SQL and Python fluency
• Metric definition

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Jerry

A free app that uses AI to shop car insurance across 100+ insurers, per the company, and manage the rest of car ownership, maintenance, recalls and refinancing, in one place.