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# Data Scientist

- **Company:** Salesforce Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $148,500.0 - $223,900.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Cloud Computing, Customer Data Management, Information Engineering, Database Development, Apache Hive, Python (Programming Language), Mesh Networking, Salesforce.Com, SQL Databases, Usage Analysis, Delivery Pipeline, Prompt Engineering, Apache Spark, AI Coding Agents, Agentic-AI, Presto, Claude
- **Published:** November 3, 2026
- **Apply:** https://startup.jobs/data-scientist-meshmesh-salesforce-10655242

## About the Role

* You have 5+ years of experience in product analytics or data science.
 * You are an analytical thinker who uses data and scientific methods to solve business problems.
 * You are proficient in analytical programming languages such as Python, and expert in SQL.
 * You are expert in end-to-end data development, including model design, quality review, deployment, and maintenance.
 * You are an Agentic Engineer - you build with Claude and similar AI coding tools, using agent loops, tool use, and well-grounded context engineering to ship code fast.
 * You have experience developing and deploying data science models in a cloud environment.
 * You are a charismatic storyteller ready to lead growth conversations with senior leadership.
 * You enjoy building relationships and collaborating in a cross-disciplinary environment.
 * You have a related technical degree.

Preferred Skills/Experience

 * You have experience with technologies for storing and analyzing large amounts of data (e.g. Spark, Presto, Hive).
 * You have experience with time series forecasting methods.

## Description

The MeshMesh team is building the next-generation mesh networking platform for Salesforce customers. As a Data Scientist, you will partner with Product, Infrastructure, and Engineering teams to drive product strategy with data-driven insights, discover growth opportunities, and deliver useful insights that shape the roadmap., * Partner with senior leadership (VP+) to advise on strategic objectives, product direction, roadmaps, growth goals, and retention strategies.

 * Produce insights (e.g. performance drivers, retention analysis, behavioral personas) by acquiring and cleaning data, building data models, and distributing findings.
 * Partner with data engineering and product engineering to instrument and structure the data assets that measure product success.
 * Own delivery with data and business intelligence engineers, turning insights into data products (pipelines, algorithms, self-service dashboards).
 * Research, develop, and implement automated algorithm deployment pipelines.
 * Evangelize data products that drive action or product improvement.
 * Help grow the Salesforce data culture through learning sessions, new tools, and process improvements.