About the Role
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.
Responsibilities
•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.
Required Skills/Experience
•5+ years of experience in product analytics or data science.
•Analytical thinker who uses data and scientific methods to solve business problems.
•Proficient in analytical programming languages such as Python, and expert in SQL.
•Expert in end-to-end data development, including model design, quality review, deployment, and maintenance.
•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.
•Experience developing and deploying data science models in a cloud environment.
•Charismatic storyteller ready to lead growth conversations with senior leadership.
•Enjoy building relationships and collaborating in a cross-disciplinary environment.
•Related technical degree.
Preferred Skills/Experience
•Experience with technologies for storing and analyzing large amounts of data (e.g. Spark, Presto, Hive).
•Experience with time series forecasting methods.
Compensation
The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
