Outreach
SaaS
StaffDataScientist
“Staff Data Scientist at Outreach. Skills: Agentic AI, Machine Learning, Data Science, GenAI, MLOps. Design, implement, and improve machine learning Systems. Contribute to machine learning applications end to end, i. e. from research to prototype to production”
What You'll Achieve.
Deliver new customer-facing features and products; Enable continuous optimization by reconstructing customer engagement workflows from data; Develop metrics to measure the success and efficiency of these workflows; Provide tools to support the optimization of these workflows
Industry & Context.
Applying statistics and machine learning to solve real-world problems
What They're Looking For.
Must Have
Degree in Computer Science, Data Science, or a related field, 7-10 years of industry or equivalent experience, Programming skills in at least one object-oriented programming language (Java, Scala, C++, Python, Golang, etc.), Experience with building and managing infrastructure for deploying and running ML models in production, Experience working with distributed data processing frameworks such as Spark, Knowledge in statistics and machine learning, Practical experience applying statistics and machine learning to solve real-world problems
Nice to Have
Experience with LangChain, Experience with LangGraph, Experience building microservices, Experience with Golang, Experience with Spark's MLlib, Experience with AWS, Experience with Databricks, Experience with MLFlow
What You'll Do.
and improve machine learning Systems
Contribute to machine learning applications end to end
i. e. from research to prototype to production
Work with product managers
and customers to define vision and strategy for a given product
Reconstruct customer engagement workflows from data
Develop metrics to measure the success and efficiency of these workflows
Provide tools to support the optimization of these workflows
How You'll Work.
Team & Collaboration
Work closely with other data scientists, machine learning engineers, and application engineers; Work alongside experienced engineers, designers, and product managers
Applying for this Staff Data Scientist role?
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How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
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What do employees actually say about Outreach?
Real rants from real employees. Read before you apply.