Decision Scientist - Adoption and Engagement Score at Salesforce

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

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Our Values and Trust

Trust is our #1 value at Salesforce. The Data and Analytics (DnA) team propels Salesforce growth by providing trusted data, insights, and AI capabilities that enable smarter decisions across every dimension. We develop tools for financial forecasting, assessing customer health, uncovering adoption insights, data curation, and more, all designed to support customer success.

The Role of Decision Scientist

This position is part of the Product Adoption team within the award-winning Customer Success Scorecard team. As a Decision Scientist, you will play a crucial role in evolving our product adoption strategies and showcasing the value our product brings to our customers.

Learn More About Our Culture

Learn More About DnA

We’re the Data and Analytics team with over 300 experts in business intelligence, data science, visualization, and data engineering. We provide trusted data, rigorous analysis, and actionable insights that our partners use daily to transform and grow Salesforce products, services, and solutions.

How We Work

The process begins and ends with data. When a new question arises, our decision scientists, data scientists, and machine learning engineers identify metrics and build models. Our visualization engineers create interactive dashboards, allowing for on-demand self-service exploration. We then distill key learnings and co-develop action plans with partners.

In collaboration with stakeholders, Data and Analytics has improved sales forecasting accuracy through Einstein Guidance, measured customer adoption with the Net Adoption Score (NAS), increased engagement with customer feedback using our Net Promoter Score, and developed ProductIQ dashboards for detailed metrics coverage across every cloud, market, and customer.

Success in the Role: What Would It Look Like?

• A hands-on analyst: Generate product insights to accelerate business growth, requiring data acquisition, cleaning, modeling, analysis, and distribution of insights to business leaders.
• An experimentation mindset: Excited about measuring the user experience through an experimental approach.
• A strategic thinker: Partner with Senior Leadership to understand business challenges and advise on strategic objectives, product direction, roadmaps, growth goals, and retention strategies.
• A relationship builder: Develop and maintain relationships with senior stakeholders, including Business Leaders, Product Managers, User Researchers, and Customer Success teams.
• A cross-functional partner: Collaborate with the data and product engineering teams to manage data assets critical to product success measurement.
• A data evangelist: Expand Salesforce data culture through new relationships, learning sessions, integrated tool design, and process improvements.

Your Experiences

• At least two years of experience in product analytics or data science, or a master's degree in data science, statistics, applied mathematics, analytics, or a related field.
• Proficient in analytical programming languages (e.g., Python or R) and SQL.
• A graduate degree in Statistics or MBA from a top university is strongly preferred.
• A strong understanding of statistical methods and end-to-end data development.
• Skilled in data