Dashmote is an AI technology scale-up headquartered in Amsterdam, The Netherlands. With the goal of bridging the gap between images and data, we are working to bring AI-based solutions to marketers at clients like Heineken, Unilever, Philips, L’Oreal, and Coca-Cola. We add value in areas such as Location Analysis, Trends Analysis, and Marketing Intelligence.
We have big plans and are expanding globally, which is a great chance to jump on board a start-up in scaling phase and contribute to shaping the company massively. Today, our company has offices in Amsterdam, Shanghai, Vienna, and New York. Over the past few years, our teams have solved a wide variety of cases, such as analyzing beer drinking and hairstyle trends by utilizing our Visual Recognition Tools, as well as identifying prospective leads by generating intelligence dashboards derived from Visual Content Analysis.
As a Junior Project Manager in our currently 4-person, kickass Project team, you'll be supporting the other Project Leads in their day-to-day tasks, as well as learning to grow into running your own projects. You consider yourself a digital native with a passion for innovation, customer experience, and confidence in employing the latest tools to provide clients with cutting edge solutions.
More specifically, some of the typical responsibilities include:
Creating the scope of work by identifying and translating user stories from the client together with UX, and discussing the project deliverables with the Data Science team, and turning this into a solid planning.
Managing the delivery of projects effectively by monitoring progress, identifying risks, and implementing strategies to ensure projects are delivered on time and within budget.
Building a close working relationship with our clients and be involved in all parts of the process, from the initial proposal to the analysis and final presentations and delivery focused on retention.
Deep-diving into some project execution alongside our analyst team, including analyzing the contextual factors behind the data, maintaining high quality outputs, and helping to build and revise machine learning rules.
Bachelor/Master degree in a quantitative field (Business Administration, Computer Science, IT, Economics)
Strong affinity with data analytics
Excellent communication skills and experience in building relationships with multiple levels and functions, internal and external to the company
Fluency in English, speaking and writing
What's in it for you?