Data Science Principal

Salesforce•San Francisco, CA

13h•Remote

About The Position

Salesforce is seeking a Principal Data Scientist to lead data efforts for Slack's monetization strategy and execution from an agentic platform perspective. This role is crucial for the Platform ecosystem, which is key to Slack's strategy of becoming the central hub for work. The position involves working closely with the Platform product organization to enhance the experience for app developers and users. The Principal Data Scientist will be responsible for uncovering insights and understanding user engagement with agents and other users on the Slack platform, while also partnering with go-to-market teams to address high-impact business questions. Slack fosters a positive, diverse, and supportive culture, valuing curiosity, inventiveness, and continuous improvement. The ideal candidate is smart, humble, hardworking, and collaborative.

Requirements

7+ years of experience in product data science in related tech industries
Advanced proficiency in SQL and at least one programming language for data science, such as Python, R, or Scala
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

Nice To Haves

2+ years experience in a product DS tech lead or managerial role
Knowledge of workflow orchestration tools like Apache Airflow is highly desirable
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

Responsibilities

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