177 applicants

Company

Cash App · 1 day ago

Senior Data Scientist, P2P

San Francisco Bay Area

Full-time

Remote

Senior Level

$146K/yr - $258K/yr

5+ years exp

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Comp. & Benefits

H1B Sponsor Likely

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Responsibilities

Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders

Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior

Design and analyze A/B experiments to evaluate the impact of changes we make to the product

Work with engineers to log new, useful data sources as we build new product features

Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives

Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team

Build and share data visualizations and self-serve dashboards for your partners

Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLData visualization toolsPythonRStatistical modelingCohort analysisFunnel analysisAnomaly detectionConditional probabilitiesProbability distributionsA/B testingETL processesData cleansingData processing

Required

A bachelor degree in statistics, data science, or similar STEM field with 7+ years of experience in a relevant role OR

A graduate degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role

Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)

Experience with scripting and data analysis programming languages, such as Python or R

Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities

Preferred

Previous exposure to or interest in areas like anomaly detection or regulatory data science

Company

Cash App

Glassdoor

3.9

Cash App is a mobile payment service that allows users to send, receive, and store money. It is a sub-organization of Block, Inc..

Founded in 2013

San Francisco, California, USA

1001-5000 employees

https://cash.app/

H1B Sponsorship

Cash App has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2023 (172)

2022 (350)

2021 (22)