Data Scientist

Salesforce; San Francisco (CA); On-site; USD 149,000 - 224,000; Full time

Benefits offered by this job

Time off programs

Medical, dental, and vision insurance

Mental health support

Paid parental leave

Life and disability insurance

401(k)

Employee stock purchasing program

Job summary

Salesforce, Inc. is seeking a Data Scientist for the MeshMesh team in San Francisco to translate data into product strategy and own delivery of data products, including automated deployment pipelines.

You will partner with senior leadership, generate insights, and collaborate with data and product engineers to instrument data assets. Experience with Claude and cloud deployments is valued.

Qualifications

• 5+ years of experience in product analytics or data science.
• Analytical problem solving using data and scientific methods to address business challenges.
• Proficiency in Python with expertise in SQL.
• End-to-end data development including model design, quality review, deployment, and maintenance.
• Agentic Engineer capability: uses Claude and AI tools to ship code efficiently.
• Experience developing and deploying data science models in a cloud environment.
• Ability to tell a clear story and lead growth discussions with senior leadership.
• A related technical degree.

Responsibilities

• Partner with senior leadership (VP+) to advise on strategic objectives, product direction, roadmaps, growth goals, and retention strategies.
• Generate insights such as performance drivers, retention analysis, and behavioral personas from data.
• Collaborate with data engineering and product engineering to instrument and structure data assets for measuring product success.
• Own delivery with data and BI engineers, turning insights into data products including pipelines and dashboards.
• Research, develop, and implement automated algorithm deployment pipelines.
• Evangelize data products that drive action and support product improvement.
• Contribute to strengthening Salesforce’s data culture through learning sessions and new tools.

Skills

Python

SQL

Agentic Engineer

Cloud deployment

Time series forecasting

Education

Technical degree

Tools

Claude

Spark

Presto

Hive

Job description

As a Data Scientist on Salesforce’s MeshMesh team, you will work closely with Product, Infrastructure, and Engineering to translate data into product strategy. The role focuses on uncovering growth opportunities, supporting roadmap direction through data-driven insights, and owning delivery of data products, including automated algorithm deployment pipelines.

Key Responsibilities

• Partner with senior leadership (VP+) to advise on strategic objectives, product direction, roadmaps, growth goals, and retention strategies.
• Generate insights such as performance drivers, retention analysis, and behavioral personas by acquiring and cleaning data, building data models, and distributing findings.
• Collaborate with data engineering and product engineering to instrument and structure data assets used to measure product success.
• Own delivery with data and business intelligence engineers, turning insights into data products including pipelines, algorithms, and self-service dashboards.
• Research, develop, and implement automated algorithm deployment pipelines.
• Evangelize data products that drive action and support product improvement.
• Contribute to strengthening Salesforce’s data culture through learning sessions, new tools, and process improvements.

Required Qualifications

• 5+ years of experience in product analytics or data science.
• Analytical problem-solving using data and scientific methods to address business challenges.
• Proficiency in analytical programming languages such as Python, with expertise in SQL.
• Expertise in end-to-end data development, including model design, quality review, deployment, and maintenance.
• Agentic Engineer capability: builds with Claude and similar AI coding tools, using agent loops, tool use, and well-grounded context engineering to ship code efficiently.
• Experience developing and deploying data science models in a cloud environment.
• Ability to tell a clear story and lead growth discussions with senior leadership.
• Comfort building relationships and collaborating in a cross-disciplinary environment.
• A related technical degree.

Preferred Skills

• Experience with technologies for storing and analyzing large datasets, such as Spark, Presto, and Hive.
• Experience with time series forecasting methods.

Technologies

• Python
• SQL
• Claude
• Spark
• Presto
• Hive

Compensation and Location

• Location: San Francisco, CA (onsite)
• Salary: USD 148,500 - 223,900 per year

Benefits

• Time off programs
• Medical, dental, and vision
• Mental health support
• Paid parental leave
• Life and disability insurance
• 401(k)
• Employee stock purchasing program

Accommodations

If you need a reasonable accommodation during the application or recruiting process, submit a request via the Accommodations Request Form.

AI Tools Notice (Recruiting)

Salesforce uses artificial intelligence (AI) tools to help recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Human reviewers make all candidate selection and hiring decisions.