The Experience

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.

What You'll Actually Be Doing

• 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.

You're Our Person If...

• 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 or experience

Even Better If...

• 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.