Data Scientist - MeshMesh

Momentum; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Leadout Capital is seeking a Data Scientist for The MeshMesh team, partnering with Product, Infrastructure, and Engineering to drive data-driven strategy for Salesforce customers. You’ll collaborate with senior leadership, build insights, instrument data assets, and ship data products and automated deployment pipelines to accelerate growth and adoption across the platform.

The role requires 5+ years in product analytics or data science, fluency in Python and SQL, and experience deploying models

Qualifications

• 5+ years in product analytics or data science.
• Analytical thinker who uses data to solve business problems.
• Proficient in Python; expert in SQL.
• End-to-end data development: model design, quality review, deployment.
• Experience deploying data science models in a cloud environment.

Responsibilities

• Partner with senior leadership to advise on objectives, roadmaps, growth goals, and retention strategies.
• Produce insights by acquiring/cleaning data, building data models, and distributing findings.
• Collaborate with data engineering and product engineering to instrument data assets that measure product success.
• Own delivery with data/BI engineers, turning insights into data products (pipelines, dashboards).
• Research, develop, and implement automated deployment pipelines for algorithms.
• Evangelize data products that drive action or product improvement.
• Help grow the data culture through learning sessions, new tools, and process improvements.

Skills

5+ years experience in product data/DS

Analytical thinker

Python

SQL

End-to-end data development

Cloud deployment

Data storytelling

Education

Relevant degree (CS/Math/Stats)

Tools

Spark

Presto

Hive

Job description

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.