Salesforce Lead Decision Scientist Product Adoption & Expertise 

United States, Washington, Seattle 

802192400

Job Category

Job Details

Applications will be accepted until 08/22/2025

We’re
The process begins and ends with data. When a new question comes our way, we determine how to access and collect the right information to answer it. Our decision scientists, data scientists, and machine learning engineers identify relevant metrics and variables and build models to further refine our initial answer.In partnership with stakeholders,

Success in the Role: What would it look like?

As a Decision Scientist, you are

• A hands-on analyst
  • You will generate product insights (e.g., performance drivers, retention analysis, behavioral personas) to accelerate business growth. This requires acquiring and cleaning data from multiple sources, structuring and building data models, analyzing to generate insights, and distributing those insights to business leaders.
  • You have an experimentation mindset. You are excited about measuring the user experience and iterating through an experimental approach.
• A strategic thinker
  • You will partner with Senior Leadership (VP+) to understand their business challenges and advise on strategic objectives, product direction, roadmaps, growth goals. and retention strategies
• A relationship builder
  • You will develop and own the relationships with senior stakeholders, including (but not limited to): Business Leaders, Product Managers, User Researchers, and Customer Success teams
• A cross-functional partner
  • You will partner with the data engineering team and product engineering team to instrument, acquire, develop, and structure data assets that are critical to measuring the success of our products
  • Identify internal and external collaborators to curate data assets and deliver relevant and actionable data insights and products
• A data champion/A data-lover at heart/data evangelist
  • You will contribute to the expansion of Salesforce data culture by growing new relationships, hosting learning sessions, integrating or designing new tools, and improving team processes

Your Experiences

• At leasttwoyears of experiencein product analytics or data science or a
  masters degree
  in data science, statistics, applied mathematics, analytics or a related field, or equivalent alternative education, skills, and/or practical equivalent experience
• Youare advancedin common analytical programming languages (e.g. Python or R) and SQL
• You are comfortable querying and transforming data using tools such as Snowflake and dbt
• Knowledge of the Salesforce ecosystem or equivalent b2b SaaS experience a plus
• A graduate degree in Statistics or MBA from top university strongly preferred
• You have strong understanding of statistical methods
• You are familiar withend-to-end data development, including data model design, quality review, deployment, and maintenance
• You are proficient in telling data stories in a wide-range of formats, including slides, charts and dashboards (e.g., Tableau)
• You are able to plan projects in detail, set schedules, coordinate resources across product, data, and engineering teams, execute project end-to-end, and make sure deadlines and quality expectations are met

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

, and our AI agents accelerate your impact so you can

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Posting Statement

For Colorado-based roles, the base salary hiring range for this position is $143,300 to $197,000. For Washington-based roles, the base salary hiring range for this position is $157,600 to $216,700. For Illinois based roles, the base salary hiring range for this position is $157,600 to $216,700.