Staff Product Data Scientist, Lending
Block · San Francisco, CA, United States of America
Posted about 2 months ago
or apply directly on Block's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 66 days Block's roles stay open a median of 66 days
- Reposted
- No
- Salary listed
- No 22% of Block's roles list one
- Ghost-job risk at Block
- high 157 stale, 7 reposted of 208 open
- Hiring momentum
- 298 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-08
Measured from postings appearing on and disappearing from Block's own greenhouse board since 2026-08-03. Full hiring picture for Block.
About this role
The Staff Product Data Scientist for Lending at Cash App will focus on transforming complex data into actionable insights to enhance credit products. This role involves collaborating with product, engineering, and risk teams to define metrics, evaluate experiments, and communicate findings to stakeholders. The position emphasizes the use of AI tools to streamline data analysis and improve decision-making processes.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Block as an employer.
What you need
- Bachelor’s degree in statistics, data science, economics, computer science, or a similar quantitative field with 12+ years of experience in a relevant role OR a graduate degree in a similar field with 6-8+ years of experience
- Advanced proficiency with SQL
- Experience building clear, decision-oriented data visualizations
- Strong product, analytical, and statistical judgment
- Experience using AI tools to improve analytical work speed and quality
What you get
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning
Worth weighing
- No specific salary mentioned, but ranges provided based on location zones
- Role involves significant collaboration across teams, which may require strong interpersonal skills
- The position may involve working with complex datasets and ambiguous product questions, requiring a high level of analytical rigor
Summarised from Block's posting. Read the full original.
Listed by Block on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.
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