WiseTech Global develops next-generation technologies that focus on finding and solving deep problems and core issues in the logistics and supply chain industry. As the global economy grows, our software plays a critical role in solving persistent pain points of logistics via our integrated suite of products. We are looking for a highly technical, data driven whiz to join our Machine Learning team.
So, who are we looking for?
Building data-driven products is your passion. You are proactive and self-driven. You excel at identifying product improvement opportunities across the business and drive them to completion. Your communication skills help you to work with a wide range of stakeholders, of various technical proficiency, level and background. You can explain complex concepts in simple terms but can delve deep if required.
When doing your job, you tend to be a realist, you don’t chase “latest and greatest”. You make sure that what you pursue and achieve is practical, reliable, simple and “just works”. You appreciate that good things take time to build, but you also understand what missed business opportunity means. You are careful to track the effect that your solutions produce. You can make judgement calls on the business value and have a good grasp on technical complexity and prioritise work accordingly.
You are willing to learn and get immersed in the complex challenges of the logistics industry. GPS, maps, tracking, time of arrival prediction excites you. You are equally well-versed in projects that require the use of natural language, inbound document processing and OCR.
Your contribution doesn’t end with product management, as you came from a hands-on technical background. You can easily get immersed in large datasets, extract insights, built analytical reports and present them to a wide audience effectively. SQL and Python are your friends. You can explain statistical concepts to a 5-year old. You keep track with the latest advancements in the industry and learn something new, every day. You understand differences and trade-offs between technical solutions and identify and describe what “good” looks like, including but not limited to solution performance evaluation, bias implications and data quality/ethics.
Before you Apply
From time to time, WiseTech Global may use an external service provider to assess applications on our behalf. Accordingly, by applying for this role and providing your personal information to WiseTech Global, you consent to WiseTech Global providing this information to our external service providers who are required to treat such information with strict confidentiality in line with privacy and data protection laws and regulations.Auf diese Stelle bewerben
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