Sr Director, Data Science

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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.

We are looking for a seasoned Data Science at Sr principal level to help build a world-class data science and analytics platform that supports and scales executive-level, data-driven product decision-making.

As a Sr Principal Product Data Scientist, you will work closely with data science teams and cross-functional partners to derive insights from data, communicate key findings to executives, and directly drive best practices in product strategy building and implementation. You’ll partner with Product, Design, and Engineering (PDE) to shape what we build, how we measure success, and when/how we iterate, scale, and improve.

At Slack, we foster a positive, diverse, and supportive culture. We look for people who are curious, bold, and eager to improve every day. Our team values being smart, humble, hardworking, and above all, collaborative.

What you will be doing:

• Apply advanced data science techniques to scale DS executions across Slack data science and data org.  

• Conduct evidence-based evaluations to determine key drivers of Slack’s product growth.

• Synthesize insights across different product areas and business outcomes, identifying correlations and causal relationships that drive success.

• At Sr principal level, Serve as a domain expert in product data science, guiding best practices and advancing data science methodologies and operations.

• Champion evidence-based decision-making, making data and insights accessible and scalable for stakeholders at all levels.

What you should have:

• 12+ years of experience in data science or quantitative analysis, preferably in technology product development or enterprise software.

• A related technical degree required; an advanced degree (MS, PhD) in a quantitative field (e.g., Mathematics, Economics, Statistics, Physics, Quantitative Psychology, Engineering, etc.) is a strong plus.

• Expertise in at least one programming language for data science (e.g., Python, R).

• Experience working with large-scale data technologies (e.g., Spark, Presto, Hive, Hadoop). Expertise in Apache Airflow is a strong plus.

• Strong executive communication skills, with the ability to translate complex data into clear, actionable insights.

• Cross-functional collaboration and influencing skills, with a track record of impacting decisions at both strategic and executional levels in a large corporate environment.

• Experience designing advanced data pipelines and schemas for scalability and efficiency.

• Strong statistical and machine learning knowledge, with experience building descriptive and predictive models.

• Expertise in DS measurement methodologies, with the ability to translate technical data into meaningful takeaways for non-technical stakeholders

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.

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