https://deploy-preview-1991--saturn-cloud.netlify.app/blog/categories/data-science-leadership/Recent content in Data Science Leadership on Saturn CloudHugo -- gohugo.ioTue, 06 Sep 2022 00:00:00 +0000https://deploy-preview-1991--saturn-cloud.netlify.app/blog/leo-pekelis-interview/Tue, 06 Sep 2022 00:00:00 +0000https://deploy-preview-1991--saturn-cloud.netlify.app/blog/leo-pekelis-interview/Recently, we got to chat with Leo Pekelis, the head of data at CloudTrucks and technical adviser to Eppo, powering A/B experimentation at scale. Leo shares about about leading his data science team, challenges, and his thoughts on how data science will continue to evolve. CloudTrucks is a startup focused on optimizing the freight industry for trucking fleets. Previously, he helped develop Optimizely's Stats Engine, and the theory behind it, and worked on pricing at Opendoor.https://deploy-preview-1991--saturn-cloud.netlify.app/blog/prioritizing-work/Mon, 23 May 2022 00:00:00 +0000https://deploy-preview-1991--saturn-cloud.netlify.app/blog/prioritizing-work/As a data scientist trying to support an organization, you must constantly decide what task you should be working on. You may be managing all sorts of tasks, such as: tasks directly from stakeholders, like making a graph of sales over time for a big meeting tomorrow, ideas that you personally think have a long-term benefit, like making a CLV model to predict high value customers, and nebulous tasks from other parts of the business, like helping determine why customer retention seems to be down in one region.https://deploy-preview-1991--saturn-cloud.netlify.app/blog/project-isnt-working/Mon, 23 May 2022 00:00:00 +0000https://deploy-preview-1991--saturn-cloud.netlify.app/blog/project-isnt-working/Every data science project is a high-risk project at its core. Either you’re trying to predict something no one has predicted before (like when customers will churn), optimize something no one has optimized before (like ads that you will email customers), or try and understand data that no one has looked at before (like trying to figure out why some group of customers are different). No matter what you’re doing youΓÇÿre the first person doing it and it’s always exploratory.https://deploy-preview-1991--saturn-cloud.netlify.app/blog/relying-too-much/Mon, 23 May 2022 00:00:00 +0000https://deploy-preview-1991--saturn-cloud.netlify.app/blog/relying-too-much/When you’re running a business, your job can be boiled down to making a sequence of important decisions: should new products be launched? Should a department be disbanded? Should a marketing campaign be run? Every decision has risk and reward ' will you make piles of cash or burn through them? It’s easy to believe that there is one lone right choice among a universe of disaster, and the job of the executives is to fine that one choice.https://deploy-preview-1991--saturn-cloud.netlify.app/blog/data-science-platform-blog/Mon, 14 Mar 2022 00:00:00 +0000https://deploy-preview-1991--saturn-cloud.netlify.app/blog/data-science-platform-blog/A data science platform is an integrated set of tools that deliver the capabilities that most data science teams need. These capabilities are: The ability to do exploratory data analysis and create machine learning models. The ability to deploy models as APIs for other teams to use. The ability to schedule jobs and data pipelines to keep the business running. The ability to deploy dashboards for executives and stakeholders to view at any time.