Million Dollar Baby Co. Innovation & Technology Culture

What does a typical day for you at Million Dollar Baby Co. look like?

Early mornings often begin with meetings involving outsourced teams responsible for business intelligence, data engineering and some machine learning initiatives. These meetings ensure alignment and smooth coordination.

A significant portion of the day is dedicated to preprocessing, cleaning, and wrangling data. This is crucial to ensure the quality and reliability of the datasets we work with. Once the data is curated, the exciting part begins — employing machine learning models to solve business challenges.

Additional time throughout the day is dedicated to meetings with internal stakeholders, ad-hoc data requests and self-directed projects. Regular interactions with internal stakeholders, such as sales, branding, and purchasing departments, help ensure our objectives align with the company's goals. These meetings are essential for gathering inputs and refining our approaches. Addressing ad-hoc data requests from various departments is a common task, requiring quick analysis and reporting to support immediate business needs. Focusing on self-initiated projects allows for innovation and exploration of new methodologies and technologies.

Periodically, one-on-one meetings with our manager and team meetings help in discussing progress, resolving issues, and strategizing for future tasks. Addressing and resolving discrepancies in data and dashboards is a critical part of the role, ensuring data integrity and accuracy.

Tell us about a project you’re working on right now. 

Our team is currently working on a project focused on forecasting sales of new items with very limited or no historical data. This project is crucial as new items drive our business growth, and accurately predicting their demand helps us order the right quantity. This prevents stockouts and overstocking, thereby reducing overhead costs and increasing return on investment.

The project is particularly complex due to the constraints posed by the limited data available for new items. However, we find this challenge rewarding because it pushes us to dive into the latest literature and explore innovative machine learning approaches to address sparse data concerns. This reinforces our passion for the field of data science.

In addition to new item forecasting, our team is also working on improving demand forecasting for regular items by analyzing price and promotion elasticity. Understanding the effects of price changes and promotions will enable us to make better pricing decisions in the future. The main challenges here include the scale of the problem, given the large number of items to predict, the complexity of the business, computational costs, and the need to create and engineer new datasets to be useful for the models.

What’s the culture like on your team? How do Million Dollar Baby Co. team members grow their knowledge and connect?

Our team culture is highly supportive and collaborative, fostering an environment where learning and growth are prioritized. We have access to extensive training resources, including Udemy courses, Databricks training sessions and passes to the Databricks Summit, which enable us to stay updated with the latest developments in data science and continuously enhance our skills.

One of the most valued aspects of our team culture is the freedom we have to independently develop solutions for business problems. This autonomy allows us to innovate and tailor our approaches to meet specific needs, fostering creativity and ownership in our work.

Team members frequently learn from each other and are encouraged to ask questions and share knowledge. We regularly check in through one-on-ones with one another to manage expectations, provide feedback, align priorities and address any concerns or ideas. This open communication helps us stay on track and ensures that everyone is on the same page.

Overall, our team culture supports individual growth through training and development and promotes a collaborative atmosphere where we can rely on our peers for guidance and support while enjoying the freedom to independently develop impactful solutions.