Data Scientist - MeshMesh

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

Job summary

Salesforce is seeking a Data Scientist to partner with Product, Infrastructure, and Engineering to drive product strategy with data-driven insights and deliver useful dashboards that shape the roadmap. You’ll collaborate with senior leadership to set objectives, build models, and instrument data assets that measure product success, turning findings into scalable data products.

Ideal candidates have 5+ years in product analytics or data science, strong Python and SQL skills, cloud deployment

Qualifications

• 5+ years in product analytics or data science.
• Strong in Python and SQL.
• Experience deploying data science models in cloud environments.

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.

Skills

Python

SQL

Data analysis

Data modeling

Storytelling

Cloud deployment

Agentic AI tools

Job description

Job Details

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

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...

• 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.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

Accommodations

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

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. 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.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. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. 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.