Who Wed Like to Meet
You are a highly experienced Machine Learning Scientist, applying state of the art machine learning methods to drive measurable business impact & solve complex business problems. You have deep knowledge of the demand forecasting at scale, applied experience in operations research to make business decisions using the forecast, and other relevant applied ML applications. You have a strong engineering mindset and good knowledge of software engineering practices, agile methodologies, data engineering, distributed systems and ML at scale.
You have a broad and deep understanding of machine learning theory and data science. You are adept at exploring and defining the problem space and building ML models, choosing the appropriate ML technique for the problem, and defining well thought-out pragmatic solutions.
You thrive in leading a cross-functional team, including scientists, engineers, and non-technical stakeholders. You are approachable, collaborative and you actively nurture a diverse and inclusive workplace.
You someone that is experienced working in a Cloud native Python Software stack and enjoys building production ready ML applications. You have experience working with data from multiple sources, involving complex/high - dimensional data (e.g. image, clickstreams, text, video, speech, time series). You are comfortable leading a team through the machine learning development lifecycle, establishing excellent engineering and ML Ops practices.
You are experienced and love to mentor across your team in an open, respectful, flexible, empathic manner and you foster a culture of feedback. You are confident working and collaborating with other scientists, understanding how to partner on research and solve complex problems.
You actively innovate, encouraging innovation within your team and you are not afraid to take calculated risks to deliver maximum impact. You have effective communication skills and can facilitate discussions across teams and with business stakeholders. You excel at explaining complex data science concepts to non-technical audiences.
You will have a proven track record of delivering Data Science Products that impact business performance. You get satisfaction from seeing your algorithms shipped and driving measurable impact to the business.