Open Role — Staff Data Scientist | Ripple

Ripple

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$196,000–$245,000 / yr
Posted
42 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $174k
This role $220k
$115k most similar roles pay here $259k

This role pays more than 75% of similar roles. Most pay $129,200–$218,168 — the shaded band above. At the midpoint, this role pays about $220k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About Ripple

Ripple Labs is a blockchain and cryptocurrency company that develops the XRP Ledger and provides cross-border payment solutions to financial institutions, enabling faster and cheaper international money transfers. Industry: Blockchain Technology & Cross-Border Payments

Ripple currently has 38 open roles on FindRole.

Listed pay typically runs $171,000–$210,000 across 24 roles with salary data.

Most-posted roles

View all roles at Ripple

At a glance

TL;DR · Open Role — Staff Data Scientist | Ripple

As a Staff Data Scientist and Engineer at our leading-edge platform, you will lead the Platform Data team in building a robust, scalable, and resilient data platform that serves all portfolio applications. You’ll collaborate with solution teams and product managers to deliver cloud-based data solutions while making critical decisions on system design and architecture. Your role involves staying updated with tech trends, mentoring engineers, and evaluating technical designs. As an active coach and mentor, you will foster a culture of continuous improvement in agile development methodologies and ensure that all work meets high-quality standards. You’ll engage in cross-departmental processes, participate in concept discussions, and contribute to the team’s YBIYRI model by taking part in on-call rotations. The ideal candidate has deep data engineering experience with complex distributed systems, expertise in automation, ETL processes, and proficiency in tools like Databricks, SQL, Python, PowerShell, C#, and AWS Data Services.

What you'll do

  • Lead the technical direction and development of a robust, scalable data platform.
  • Make critical decisions on system design, architecture, and delivery for portfolio applications.
  • Mentor team members to enhance their skills and foster engineering excellence.
  • Drive agile methodologies and continuous improvement in operations and processes.
  • Ensure all projects meet quality standards through active participation and oversight.

What we're looking for

  • Proven leadership in technical direction and team development for data platforms.
  • Extensive experience in software engineering, agile methodologies, and project management.
  • Deep expertise in complex distributed systems and data engineering practices.
  • Hands-on involvement with code details and automation of ETL processes.
  • Proficiency in a wide range of data tools and languages including Databricks, SQL, Python, and AWS services.
  • Strong communication skills for influencing decisions and improving cross-department collaboration.

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