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Salesforce

Data Scientist - MeshMesh

Salesforce is hiring a Data Scientist - MeshMesh in San Francisco, United States. It pays $149k-$224k a year and Level rates it ; you can apply on Salesforce.

Level's read on this job

  • Level rates this data scientist role Uses AI ●●○○: an ordinary role that requires AI tools.
  • The posting mentions Claude and AI agents among its tools and skills.
  • Level classes it as a senior role.
  • Salesforce has 1,500+ other open roles on Level.
  • Posted in the last few days.

AI in this role

claude
ai-agents

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Data

Job Details

About Salesforce

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.

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

  • 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.

Preferred Skills/Experience

  • 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.

About Salesforce

Salesforce is the Customer Company, inspiring the future of business with AI, Data, and CRM. We help companies across every industry blaze new trails and connect with customers in a whole new way. We're committed to equality and creating a workplace that reflects the diversity of our communities and customers.

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. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

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

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

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.

How we rate this

Data Scientist - MeshMesh at Salesforce rates 44 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsClaude

Also common in data scientist jobs at this level

Pay

This job starts at
$149k
Typical data scientist job
$166k

This posting starts 10% below the typical data scientist job. See data scientist jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Walk me through how you've used Claude in your day-to-day work.
  3. This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
  4. Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

  • List these exact terms on your resume: AI agents and Claude. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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