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Data Scientist - MeshMesh

Salesforce

San Francisco, CAJobPosted 1 day agoStill listed today

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At a glance

Compensation
No compensation found
Location
San Francisco, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Data Scientist on Salesforce’s MeshMesh team partners with Product, Infrastructure, and Engineering to shape product strategy through data-driven insights. The role develops data models and products, builds automated algorithm deployment pipelines, and advises senior leadership on product direction, growth, and retention. It also supports data culture through learning sessions, tools, and process improvements.

Skills & qualifications

RequiredNice to have

Skills

Data ScienceCustomer AnalyticsPython (Programming Language)SQL (Programming Language)Data ModelingData EngineeringBusiness Intelligence DevelopmentAlgorithm DesignCloud ComputingProduct AnalyticsAnalytical ThinkingScientific MethodsEnd-to-End Data DevelopmentModel DesignQuality ReviewDeploymentMaintenanceAgentic EngineeringClaudeAI Coding ToolsAgent LoopsTool UseContext EngineeringData Science ModelingStorytellingLeadership CommunicationRelationship BuildingCross-Disciplinary CollaborationSparkPrestoHiveTime Series Forecasting

Qualifications

5+ Years Product Analytics or Data Science ExperienceRelated Technical Degree or Experience

Benefits

Paid Time Off
Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
401(k) Match

Full job description

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.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

How this job compares

Set against the 4,811 open Data Scientist jobs on Olive Jobs, counted November 5, 2026.

Pay
  • This postingNot listed
  • California median$156–236K/yr671 salary ranges
  • California median$70–78/hr29 hourly ranges
Openings
Olive Jobs lists 807 open Data Scientist jobs in California and 4,811 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 5 years of experience; Data Scientist postings that state a minimum ask for 5 years at the median (4,123 postings).
Education
2,276 of the 4,811 open Data Scientist jobs (47%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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