Staff Data Scientist

Ripple
Chicago
Workplace: OnsiteFull timeUSD 196,000 - 245,000 annuallyFunction: Data Science & Machine LearningSkills: ["Leadership","Mentoring","Communication","Influencing","Agile project management"]

Lead the Platform Data team to build a robust, scalable, resilient data platform powering portfolio applications. Collaborate with solution teams and product managers to deliver cloud-based data platform solutions, make system design and architecture decisions, and ensure engineering excellence. Stay current with emerging technologies, mentor and coach teammates, drive agile and analytical methodologies, and continuously improve team practices through a You-Build-It-You-Run-It model including on-call rotations.

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Ripple
Ripple
4 months ago

Staff Data Scientist

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Last checked: 3 hours agoStatus: Live

Job Summary

Lead the Platform Data team to build a robust, scalable, resilient data platform powering portfolio applications. Collaborate with solution teams and product managers to deliver cloud-based data platform solutions, make system design and architecture decisions, and ensure engineering excellence. Stay current with emerging technologies, mentor and coach teammates, drive agile and analytical methodologies, and continuously improve team practices through a You-Build-It-You-Run-It model including on-call rotations.
Location: Chicago
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Provide technical leadership for the Platform Data team to build a scalable, resilient data platform for portfolio applications.
  • •Collaborate with solution teams and product managers to deliver cloud-based data platform solutions and system architecture.
  • •Make decisions on solution design, architecture, and delivery of systems, ensuring quality and operational standards.
  • •Mentor and coach the team, evaluating technical design and code while driving continuous improvement across processes and technology choices.
  • •Drive agile development and analytical methodologies, participate in You-Build-It-You-Run-It practices, and join on-call pager rotation.

Pay and Benefits

Salary: USD 196,000 - 245,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceRetirementParental LeaveLearning BudgetMobile PhoneWellness Stipend

Key Requirements

  • •Provide technical leadership across the data platform domain, owning system design, architecture, and delivery decisions.
  • •Demonstrate deep data engineering experience in complex distributed systems with strong software development lifecycle and engineering excellence practices.
  • •Bring strong software and data automation expertise across ETL processes and data movement using data medallion architecture.
  • •Use hands-on skills with tools and languages such as Databricks, SQL, Python, PowerShell, C#/.NET, SQL Server, PostgreSQL, and data lake/lakehouse systems.
  • •Communicate effectively and influence across teams, with strong mentoring/coaching and agile project execution ability.
Experience:FintechCryptoData engineeringDistributed systems
Skills:LeadershipMentoringCommunicationInfluencingAgile project management
Languages:English
Tech Stack:DatabricksSQLPythonPowerShellC#/.NETSQL ServerPostgreSQLData LakeLakehouseETLQlikZoho AnalyticsAzure PaaSIzendaSSRSAWS Data ServicesCloudAzure

Company Brief

Ripple
Builds blockchain-based payment and liquidity infrastructure for financial institutions and enterprises. Its products support cross-border payments, crypto liquidity, and digital asset settlement.
Industry: Fintech Infrastructure
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: San Francisco, United States
Founded: 2012
WebsiteLinkedIn