Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the understanding and management of experience for candidates, customers, employees, patients, citizens and residents.
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.
Data 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.
Design, implement and support ongoing essential data pipelines for collection, quality transformation, and generation of insights as a prerequisite for ML/AI model training. Build and deploy portable, Scalable ML Workflows enabling easy orchestration and experimentation. Write the end-to-end ML Pipelines for acquiring data for the creation and re-training of models. Debug and solve complex problems that may span the E2E lifecycle of the Model. Proactively monitor and manage the availability of the Model infrastructure and applications and provide on-call support (if required). Work closely with product engineering teams to align the product expectation with the ML engineering expectations.
In the past year, the team has tackled projects as diverse as:
· Optimizing Representation Learning for Text Analysis
· Suggestion Mining classification and clustering
· Customer Journey Analysis and Prediction
· Infrastructure for Statistics Toolkit for Non-Expert Users
· Toxicity Detection and Masking in Feedback
· Automated insight generation from time-series data
At Medallia, we celebrate diversity and recognize the value it brings to our customers and employees. Medallia is proud to be an equal opportunity workplace and is an affirmative action employer. Equal opportunity is afforded to all qualified applicants and employees. We do not discriminate on the basis of gender identity or expression, race, ethnicity, religion, national origin, age, sex, marital status, physical or mental disability, Veteran status, sexual orientation, and any other protected category. We also consider all qualified applicants regardless of criminal histories, consistent with legal requirements.
Medallia is committed to working with and providing reasonable accommodation to applicants with disabilities in accordance with the American Disabilities Act and local disability laws.
For information regarding how Medallia collects and uses personal information, please review our Privacy Policies