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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Science Principal - **Company:** SLACK'S, INC. - **Location:** Atlanta, GA, United States - **Experience:** Experienced - **Salary:** $197,300.0 - $313,700.0 - **Contract:** Permanent contract - **Skills:** Airflow, Big Data, Customer Data Management, Information Engineering, Distributed Data Store, Apache Hadoop, Apache Hive, Python (Programming Language), Workflow Management Systems, Apache Spark, Information Technology, Presto, Programming Languages - **Published:** September 4, 2026 - **Apply:** https://www.adzuna.com/details/5868677922 ## About the Role 7+ years of experience in product data science in related tech industries; 2+ years experience in a product DS tech lead or managerial role a strong plus A consistent record of using data to drive product teams to achieve ambitious goals and influencing company-level outcomes 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 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 Even better if you have: 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 ## Description We are hiring a Principal Data Scientist to lead the data efforts to form Slack monetization strategy and execution from the agentic platform point of view. The Platform ecosystem is a critical component of Slack's strategy to become the place where work happens. It enables users to truly customize Slack and integrate their everyday tools to streamline and speed up work. At the same time, this domain connects with corporate sales and business and strategic customer strategy and directly impacts the company's topline performance., 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)