**Company: Zalando Job Description Summary: The company Zalando is looking for an Applied Science Manager (Forecasting) to lead a team of Applied Scientists in developing cutting-edge forecasting solutions to support the company’s business. The ideal candidate should have a strong academic background in a STEM field, experience in demand forecasting science, problem-solving skills in data science, and the ability to motivate and mentor junior colleagues. They should also have experience in translating research into practical applications and be fluent in English. The company values inclusivity and does not discriminate based on gender identity, sexual orientation, ethnicity, religious belief, or disability status. Candidates are assessed based on qualifications and merit, and accommodations can be provided during the hiring process. The role involves raising the scientific bar, collaborating with other teams, defining roadmaps, mentoring other scientists, and working closely with senior leaders to bring cutting-edge solutions to customers. Job Description: As an Applied Science Manager (Forecasting) in the Markets organization, you will lead the Applied Science Forecasting team enabling exceptional Applied Scientists to create bold research experiments with today’s most exciting State-of-the-Art approaches in the scientific field. You will be leading the team developing cutting-edge forecasting solutions that will support the steering of Zalando’s $10Bn+ Business. You will empower the team to stay up-to-date with the latest research in Forecasting Science for Demand Planning (e.g. forecasting market demand, logistics KPIs, etc). You will provide egoless and constructive scientific feedback to peers and coach junior colleagues to become great researchers. In addition to the science depth, research, and publication track record, you must possess exceptional research management and communication skills. Above all we expect you to be a strong people leader who understands how to effectively coach an applied science team and create state-of-the-art solutions that deliver business value. INCLUSIVE BY DESIGN At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit. We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process. do.BETTER - our diversity & inclusion strategy https //corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy Our employee resource groups https //corporate.zalando.com/en/our-impact/our-employee-resource-groups WHAT WE’D LOVE YOU TO DO (AND LOVE DOING) You will be a leader in Applied Science Raise the scientific bar across your team and Zalando through publications in prestigious international conferences, and engaging in rigorous peer reviews. Actively collaborate with other teams and share knowledge and expertise within our talented applied science community. You will support the team in defining and executing roadmaps, in a way that integrates the high level of uncertainty and complexity involved in our projects. You will scale up, manage and mentor other junior and senior scientists, reviewing and guiding their work. Work closely with other senior leaders and engineering & product team members to bring our state of the art solutions to customers.
Company:Zalando
Qualifications: Strong academic background in a STEM field or equivalent (preferably PhD) Strong experience in Demand Forecasting science Strong problem solving skills for Data Science in general Experience in demand forecasting science related projects (e.g. full lifecycle of deep learning forecasting) Experience in translating research into application with a good balance between scientific rigor and sustained relevance. Ability to motivate highly skilled data scientists, mentor and enable them for growth Strong Experience with Python in applied context - experience with ML frameworks (Pytorch, tensorlfow, etc) applied for forecasting problems Fluent business English. Self-driven, intrinsic motivation for result implementation (action orientation).
Educational level:Ph. D.
“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.
