Good Data Scientist: Python, R, SQL, engineering skills, Spark + longer list of technical skills
Great Data Scientist: Subset of the above + Empathy, Tailored communication, Active Listening, Adaptability
The skills to level yourself up from a good data scientist to a great one can be learned with practice, and I describe four ways that can help. For each of the four examples, my work with undergraduates helped me enormously.
Your stories and experiences may be different from mine, but you may recognize common themes. Perhaps the model and metrics looked great to you but the stakeholder was unconvinced; or…
Authors: Sucheta Jawalkar, Chinmay Jha
The SMART Forecasting team at Walmart Labs is tasked with providing demand forecasts for over 500 million store-item combinations every week! For example, just how many strawberries need to go to every Walmart store in the U.S., every week for the next 52 weeks, with the goal of improving in stocks and reducing food waste.
We demonstrate a simple linear modeling approach to introduce forecast enhancements based on weekend sales. This algorithmic approach has been readily adopted by our business partners and has consistently delivered business impact over the past year.
In addition to boosting…
Written by Sucheta Jawalkar, John Bowman
The SMART Forecasting team at Walmart Labs is tasked with providing demand forecasts for over 70 million store-item combinations every week! For example, just how much of every type of ginger needs to go to every Walmart store in the U.S., every week for the next 52 weeks, with the goal of improving in stocks and reducing food waste.
Our algorithm strategy was to build a suite of machine learning models and deploy them at scale to generate bespoke solutions for (oh so many!) store-item-week combinations. Random Forests would be part of this suite.
The Insight Data Science blog recommends the best way to put your data science tools to work is to
Determine a question you may be interested in answering by using data. What are you passionate about? What would make your life more efficient? What would improve the city you live in?
then use your Data Science tools to answer that question.
My partner and I often talk about what city we could move to or where we could live in the U.S. that would be a good fit for our values and priorities. …