Staff Data Scientist

• We are looking for an experienced Staff Data Scientist to support Slack’s Go-to-Market (GTM) organization
• In this role, you will partner with Sales Strategy, Sales Programs, Product, Finance, and Data teams to uncover opportunities that accelerate growth, improve customer outcomes, and shape GTM strategy through data
• You will work on some of Slack’s highest-impact business questions, applying advanced analytics, experimentation, and statistical methods to understand customer behavior, evaluate strategic initiatives, and optimize GTM performance
• As Slack continues to invest in AI-powered selling and customer intelligence, you will help define the analytical frameworks, predictive models, and measurement systems that enable smarter decisions at scale
• You will collaborate closely with Engineers, Business Leaders, and Researchers to identify opportunities, influence strategic direction, and build a culture of evidence-based decision making
• Slack has a positive, diverse, and supportive culture
• We look for people who are curious, inventive, and strive to improve every day
• In our work together, we aim to be smart, humble, hardworking, and, above all, collaborative
• If this sounds like a great fit, we’d love to hear from you
• Partner with GTM leadership to identify strategic opportunities, evaluate business performance, and influence key business decisions
• Apply statistical methods, experimentation, and advanced analytics to understand customer behavior, sales performance, and drivers of business growth
• Develop predictive models, segmentation frameworks, and forecasting methodologies that improve GTM planning and execution
• Design measurement strategies and success metrics to evaluate products, programs, and strategic initiatives
• Conduct deep-dive analyses to identify opportunities for revenue growth, customer adoption, operational efficiency, and field productivity
• Build scalable analytical frameworks that uncover trends, quantify business impact, and support executive decision making
• Partner with Data Engineering to develop trusted datasets and scalable analytical foundations that enable advanced modeling and experimentation
• Collaborate with Product and Sales Strategy to develop intelligence solutions that connect account health, product usage, customer engagement, and seller actions into actionable recommendations
• Translate complex analyses into compelling narratives, executive presentations, dashboards, and written recommendations tailored to both technical and non-technical audiences
• Champion evidence-based decision making by improving access to trusted metrics, analytical methodologies, and strategic insights across the GTM organization

Benefits

• Medical Care
• Life Insurance
• Retirement Savings
• Employee Assistance Programs
• With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year- Experience partnering with Product, Sales, Finance, or other GTM organizations to influence strategic decisions
• Bachelor’s degree in Computer Science, Statistics, Economics, Mathematics, Engineering, or another quantitative field, or equivalent practical experience
• Experience working with large-scale data technologies such as Spark, Presto, Hive, Hadoop, or similar distributed data platforms
• Strong foundation in statistics, experimentation, causal inference, predictive modeling, and analytical problem solving
• Advanced proficiency in SQL and at least one programming language for data science, such as Python, R, or Scala. Knowledge of workflow orchestration tools like Apache Airflow is highly desirable
• Proven ability to communicate complex analytical findings clearly to executive and cross-functional audiences
• 6+ years of industry experience applying data science, statistics, or quantitative analysis to solve complex business problems
• Experience applying AI and machine learning techniques to improve business decision making, operational efficiency, or customer experiences
• Demonstrated ability to independently define ambiguous business problems, develop rigorous analytical approaches, and influence executive-level strategy
• Deep understanding of GTM operating models and experience collaborating with Sales Strategy and Sales Programs teams
• Experience developing production-quality analytical models and partnering with engineering teams to operationalize data science solutions
• Master’s degree or PhD in Statistics, Computer Science, Economics, Mathematics, Operations Research, or a related quantitative discipline
• Experience supporting Sales, Marketing, Customer Success, Finance, or other Go-to-Market organizations through advanced analytics
• Expertise in experimental design, A/B testing, causal inference, forecasting, or machine learning