Overview:We are more than a software company. We want to be known as a company that does the right thing, no matter the challenge or controversy. We are committed to creating a culture that values every person and every experience. Individual life experiences shape the way we interact with the world, which is why we encourage people to bring their whole selves to work each day. The strength of our global workforce is the most significant contributor to our success.We believe: Every Experience Matters. Talent is Everywhere. All Belong Here.At Medallia, we hire the whole person.The TeamData Science at Medallia brings together researchers, engineers and designers, to build adaptive, collaborative technologies that are focused on enabling action at all levels of an organization. We drive both platform and product development, so that our customers can interact with their customers in satisfying and emotionally connected ways, regardless of scale.**Responsibilities**:- Run data science projects independently.- Partner with engineering, design and product teams to deliver solutions to orchestrating, understanding and improving customer experiences in real time.- Collaborate with a team of brilliant engineers and scientists responsible for bringing intelligent features to all corners of Medallia's product offerings.Qualifications: Minimum Qualifications- Bachelor's degree in Computer Science or related technical discipline or equivalent practical experience- 3 years of relevant work experience, including software development experience or 1 year of relevant work experience with a PhD in Computer Science or related technical discipline- 3 years of work or educational experience in Machine Learning or Artificial Intelligence- Demonstrated proficieny Python, and detailed working knowledge of the packages and frameworks associated with data wrangling, analysis, and machine learning, e.G. Tensorflow, Pytorch, Sklearn, Spacy, Pandas, PySparkPreferred Qualifications- MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline- Strong communication skills, especially in describing technical methods and results to both technical and non-technical audiences- Experience with utilizing, training,or fine-tuning large language models- Extensive experience in one or more of the following areas: Natural Language Processing for text understanding, classification, summarization, pattern recognition, and/or recommendation/ranking systems; Representation learningfor unstructured data types (images, text), multiple data sources (e.G. EMR/EHR), or event sequences (e.G. customer journeys)- Experience utilizing machine learning platforms e.G. Kubeflow, SageMaker, VertexAI, Databricks