Compassion International

Releasing children from poverty in Jesus' name.

Data Scientist III

Data ScientistData ScientistFull TimeRemoteTeam 1,001-5,000H1B SponsorCompany SiteLinkedIn

Location

California + 1 moreAll locations: California, Washington

Posted

30 days ago

Salary

$106.4K - $125.0K / year

Bachelor DegreeEnglishAWSCloud

Job Description

• Maintains a personal relationship with Jesus Christ • Develops, analyzes, and models operational, program, marketing, or other organizational data to analyze the competitive performance of Compassion's business segments • Develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets • Further evaluates potential operational changes, and designs new approaches and data methodologies accordingly • Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources • Further tests and troubleshoots internal advanced analytics tools and data programs • Works closely with vendors to manage maintenance of data modeling tools • Performs exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross-channel outcomes • Further develops proofs of concept to verify ideas and closes the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients • Translates complex analytical and technical concepts for non-technical team members to enable understanding and drive informed business decisions • Collaborates with cross-functional teams across the organization to support data and cloud computing strategies

Job Requirements

  • Proven experience operationalizing large backlogs of AI/ML use cases
  • Ability to establish AI best practices, standards, and reusable frameworks, enabling internal data scientists and analysts to deliver consistently
  • Strong background in exploratory data analysis and algorithm selection, with a focus on prioritizing measurable financial impact and business value
  • Demonstrated experience consolidating and rationalizing AI use cases across platforms, including savings calculations and alignment to enterprise technology strategy
  • Deep understanding of MLOps and production ML lifecycle, including model deployment, monitoring, governance, and integration with mature DevOps processes
  • Hands-on experience designing and orchestrating end-to-end AI systems across teams and platforms, not just isolated models or prompts
  • Proficiency with modern data and AI platforms, including AWS (SageMaker), Snowflake, DataRobot, Salesforce, and enterprise data warehouses
  • Experience implementing Retrieval Augmented Generation (RAG) and context-driven AI systems where prompts are augmented or replaced by governed data sources

Benefits

  • Receive generous paid time off
  • 10% contribution to a 403(b) retirement fund on top of your salary
  • excellent healthcare coverage
  • free short-term professional counseling
  • and more

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