Product Adoption & Expertise - 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 vital role in evolving our product adoption strategies and measuring and demonstrating the value that our product brings to our customers.

As a Decision Scientist, you are

A hands-on analyst

• You will generate product insights (eg, 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 distr ibuting 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 busin ess challenges a nd 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

• At least two years of experience in 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
• You are advanced in common analytical programming languages (eg Python or R) and SQL
• A graduate degree in Statistics or MBA from top university strongly preferred
• You have strong understanding of statistical methods
• You are familiar with end-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 (eg, 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