Data Science Principal
Listed on 2026-08-27
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IT/Tech
Data Scientist, Data Analyst, AI Engineer (Applied/Software), Data Science Manager
Principal Data Scientist, Platform Monetization
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.
What you’ll be doing :- Establish strong partnership with product and business stakeholders in identifying opportunities, prioritize roadmaps, define and implement execution excellence, and coach and mentor team members for execution excellence
- Apply statistical methods, experimentation, segmentation frameworks, and forecasting methodologies to understand customer behavior, GTM performance, and drivers of growth
- Design measurement strategies and success metrics to evaluate products, programs, and strategic initiatives
- Frame and deliver deep-dive analyses to identify opportunities for revenue & product growth, customer adoption, and smooth user journeys
- Partner with Data Engineering to develop trusted datasets and scalable analytical foundations that enable advanced modeling and experimentation
- Set a compelling vision and prioritize work based on product strategies and overall business goals
- Partner closely with product researchers and business strategy partners, align roadmaps and collaborate on projects to influence topline decision making
- 7+ years of experience in product data science in related tech industries; 2+ years experience in a product DS tech lead or managerial role a strong plus
- A consistent record of using data to drive product teams to achieve ambitious goals and influencing company-level outcomes
- Advanced proficiency in SQL and at least one programming language for data science, such as Python, R, or Scala.
- Knowledge of workflow orchestration tools like Apache Airflow is highly desirable
- Strong foundation in statistics, experimentation, causal inference, predictive modeling, and analytical problem solving
- Experience working with large-scale data technologies such as Spark, Presto, Hive, Hadoop, or similar distributed data platforms
- Proven ability to communicate complex analytical findings clearly to executive and cross-functional audiences
- Experience partnering with Product, Sales, Finance, or other GTM organizations to influence strategic decisions
- Even better if you have: BS degree in a quantitative field (e.g. Computer Science, Economics, Physics); an advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics, Maths) is a strong plus
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.
AccommodationsIf 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.
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