200+ applicants

Company

Original Job Post

Pave · 5 days ago

Senior Data Scientist

San Francisco Bay Area

Full-time

Onsite

Senior Level

$206K/yr - $242K/yr

4+ years exp

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Employee BenefitsInformation Technology

H1B Sponsorship

Growth Opportunities

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Responsibilities

Build data infrastructure, create and deploy ML models, define and evaluate metrics, and help create tools for customers to understand the unique data set.

Partner with Product Managers and go-to-market leaders to understand user needs, create prototypes, and work with Software Engineering team to scale insights into user-facing products.

Balance technical complexity with user-facing simplicity, design creative and accurate metrics, and translate business questions into quantitative solutions.

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.

SQLPythonRStatistical ModelingData ManipulationData IntuitionBusiness-MindedProject ManagementProblem-SolvingCreativityAnalyticalCommunicationAdaptabilityML models evaluationData transformations (dbt)Customer-facing data products

Required

Have a Bachelors or other advanced degree in a quantitative discipline: statistics, operations research, social science, computer science, engineering, mathematics, economics, etc.

4+ years of experience in a Data Science role, preferably at a technology company.

Expert data manipulation skills with a proficiency in SQL.

Expert in statistical modeling with Python or R (e.g., clustering, regression, time series, Bayesian statistics).

Strong data intuition and creativity: you are able to design creative, useful, and accurate metrics, and have strong intuitions about where metrics go wrong.

Strong analytical problem solving skills: you have the ability to translate qualitative business questions into quantitative solutions.

Product- and business-minded: you enjoy using data to solve user pain points and business problems.

Strong ability to communicate technical outcomes to cross-functional audiences.

Ability to navigate (and bring structure to) ambiguity, with the ability to bring a project from 0 to 1.

Preferred

Experience evaluating the performance of ML models (not that this is not an ML-specific role, but you will work closely with ML Engineers).

Experience with data transformations using dbt.

Experience building customer-facing data products.

Experience working with product managers, engineers, and/or designers.

Benefits

Equity

Medical, Dental, and Vision Coverage

Commuter Benefits

Catered Lunch

Unlimited PTO Policy

Region-Specific Benefits

Monthly L&D Stipend

Company

Pave

Pave is a real-time compensation platform that helps organizations plan, communicate, and benchmark employees' compensation.

Founded in 2019

San Francisco, California, USA

51-200 employees

https://www.pave.com

H1B Sponsorship

Pave 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

Trends of Total Sponsorships

2023 (1)

2022 (5)

2021 (2)