Data Scientist, MeshMesh: AI-Driven Product Insights

Salesforce, Inc.; Seattle (WA); On-site; USD 149,000 - 224,000; Full time

Job summary

Salesforce, Inc. in Seattle seeks a Data Scientist to partner with Product, Infrastructure, and Engineering to drive product strategy with data-driven insights, discover growth opportunities, and deliver actionable findings that shape the roadmap.

You will lead end-to-end data development, build data models, deploy automated pipelines, and create self-service dashboards to empower teams and accelerate product improvements across the organization.

Qualifications

• 5+ years of experience in product analytics or data science.
• Proficient in Python and SQL.
• Expert in end-to-end data development, including model design, quality review, deployment, and maintenance.
• Experience deploying data science models in a cloud environment.
• Ability to communicate with senior leadership and lead growth conversations.

Responsibilities

• Advise on strategic objectives, product direction, roadmaps, growth goals, and retention strategies.
• Produce insights by acquiring and cleaning data, building data models, and distributing findings.
• Partner with data engineering and product engineering to instrument and structure data assets that measure product success.
• Own delivery with data and BI engineers, turning insights into data products (pipelines, 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.

Skills

Python

SQL

Analytical thinking

Data storytelling

Cross-functional collaboration

Cloud data platforms

Education

Bachelor's degree in a related field

Tools

Spark

Presto

Hive

Job description

Salesforce, Inc. in Seattle seeks a Data Scientist to partner with Product, Infrastructure, and Engineering to drive product strategy with data-driven insights, discover growth opportunities, and deliver actionable findings that shape the roadmap.

You will lead end-to-end data development, build data models, deploy automated pipelines, and create self-service dashboards to empower teams and accelerate product improvements across the organization.