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SAP Senior Applied Scientist in Kraków, Poland

Qualtrics, the leader in customer experience and creator of the Experience Management (XM) category, is changing the way organizations manage and improve the four core experiences of business––customer, employee, product, and brand. Over 12,000 organizations around the world are using Qualtrics to listen, understand, and take action on experience data (X-data™)––the beliefs, emotions, and intentions that tell you why things are happening, and what to do about it.

The Qualtrics XM Platform™ is a system of action that helps businesses attract customers who stay longer and buy more, engage employees who build a positive culture, develop breakthrough products people love, and build a brand people are passionate about. Join us as we help change the way people experience the world! Advance your career at a company that is dedicated to your ideas and growth, fills you with purpose, and provides a fun, inclusive work environment.

About the Role

We are looking for Senior Applied Scientist to bring our Machine Learning and Artificial Intelligence R&D and strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage.

As a Senior Applied Scientist at Qualtrics, you should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!

In addition, you will:

  • Collaborate with other Qualtrics engineering teams to understand and recommend how machine learning and artificial intelligence could enhance their product areas

  • Research, recommend, test, and implement the ideal solution to a variety of ML and AI challenges, from natural language processing to statistical analysis to image analysis and beyond

  • Work with machine learning engineers to implement, tune, and productize machine learning models

  • Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers

Preferred Qualifications

  • Master’s or other advanced degrees in Mathematics, Computer Science, or Engineering with 2-10+ years of industrial experience in at least one of the following fields: (note - we are looking for great people at different levels from junior to senior)

  • Natural language processing: text labeling and classification, text understanding, question answering, dialogue systems, entity extraction and reasoning, knowledge graph, etc.

  • Machine learning: deep learning, distributed machine learning, large-scale optimization, Bayesian probabilistic inference

  • Data mining: information extraction, recommender systems, knowledge/pattern discovery, anomaly/churn detection

  • Computer vision: image classification, object detection, segmentation

  • Experience in developing new algorithms with a track record in journals or conferences

  • Expert in conducting state-of-the-art research, system design, and applying novel techniques to live production systems

  • Familiar with one or more deep learning frameworks: e.g Tensorflow, PyTorch, MXNet

  • Strong verbal and written communication skills

What differentiates us from other companies

  • Work life integration is deeply important to us - we have frequent office events, team outings, and happy hours.

  • We take pride in our offices design aiming at cultivating creativity from our rooftop views to an open and collaborative work space

  • On top of the standard benefits package (medical, dental, vision, life insurance, etc) we provide snacks, drinks, and free lunches in our office

  • We believe in sharing Qualtrics success which is part of the compensation for all employees

To learn more about what we value read about it directly from our employees Qualtrics Life stories (https://www.qualtrics.com/blog/qualtrics-life/)

SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities (requests for reasonable accommodation will be considered on a case-by-case basis). If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please contact us: EMEA - Careers@sap.com Americas - Careers.NorthAmerica@sap.com Americas - Careers.LatinAmerica@sap.com APJ - Careers.APJ@sap.com

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