Data Scientist, MeshMesh AI Platform

Salesforce, Inc.; San Francisco (CA); In loco; USD 149.000 - 224.000; Tempo pieno

Descrizione del lavoro

Salesforce is seeking a Data Scientist to partner with Product, Infrastructure, and Engineering to drive product strategy with data-driven insights and deliver useful dashboards that shape the roadmap. You’ll collaborate with senior leadership to set objectives, build models, and instrument data assets that measure product success, turning findings into scalable data products.

Ideal candidates have 5+ years in product analytics or data science, strong Python and SQL skills, cloud deployment

Competenze

• 5+ years in product analytics or data science.
• Strong in Python and SQL.
• Experience deploying data science models in cloud environments.

Mansioni

• 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.

Conoscenze

Python

SQL

Data analysis

Data modeling

Storytelling

Cloud deployment

Agentic AI tools

Descrizione del lavoro

Salesforce is seeking a Data Scientist to partner with Product, Infrastructure, and Engineering to drive product strategy with data-driven insights and deliver useful dashboards that shape the roadmap. You’ll collaborate with senior leadership to set objectives, build models, and instrument data assets that measure product success, turning findings into scalable data products.

Ideal candidates have 5+ years in product analytics or data science, strong Python and SQL skills, cloud deployment