VP, Data Science & Engineering

Medallia is the global leader in Customer Experience Management. Our mission is to create a world where companies are loved by their customers; where organizations see you as a person and not just their next sale. We do this by building a bridge between hundreds of companies and billions of customers, around the world, enabling access to your eyes, ears, and hearts, so they may design and deliver extraordinary experiences, every single day.

The Opportunity

  • The VP of Data Science & Engineering proactively works with business executives and various departmental heads across the business in order to identify meaningful ways to incorporate advanced analytical models into Medallia’s products supporting the realization of Medallia’s Product Strategy. S/he will design and launch innovative and complex analytical models, utilizing a blend of contemporary and traditional data mining and machine learning techniques, applied to both structured and unstructured data sets. Your mission is to disrupt Operational Customer Experience Management (OCEM) through the practical application of data science to solve our customer's problems and ship meaningful products and features. 
  • We’re looking for someone who is passionate about solving everyday problems through quantitative analysis, comfortable manipulating and summarizing data, and who enjoys finding ways to visualize and tell stories through data. In this capacity, you are curious and collaborative and love to make an impact on the world through your work. You’re someone who gets energized by a challenge and likes to dig deep into the data when things aren’t immediately clear. You will be leading a diverse team of data engineers and data scientists. We’ve been given a big charter – to demonstrate the many ways that customer centricity can transform organizations and dramatically improve business results. You will work closely with Product Management to productize and infuse analytics capabilities into the Medallia product portfolio. And we have lots of data to play with and many meaningful products to build – come join us.


  • Independently, but in collaboration with Head of Technology and Head of Product, set team charter and strategy
  • Drive technology strategy for the data analytics platform and tools, aligned closely with Medallia product strategy
  • Work with internal teams and clients to identify priority research questions
  • Design, lead, and manage research projects and product related-initiatives
  • Drive model development from inception to production
  • Apply expertise in statistics and data mining to evaluate the impact of customer experience management on operational and financial outcomes (as well as those yet to be discovered)  
  • See beyond the numbers to identify findings of strategic importance to Medallia and practical value to clients
  • Communicate analyses and results in ways that are accessible, relevant, and meaningful to a business audience

Required Qualifications

  • Master’s degree or PhD in an analytic field (e.g., Computer Science, Statistics, Operations Research, Engineering, Market Research, Biostatistics) or a field that uses advanced analytics in an organizational context: Organizational Behavior, Management Science, I/O Psychology, Economics, Sociology
  • Deep experience performing advanced data analytics in a business, academic, or related context (e.g., high-tech, market research, management consulting, operations research, finance, etc.)
  • Expert knowledge of research methodology, quantitative modeling, AI & machine learning, and statistical techniques
  • Track record of shipping and making data science a point of product differentiation
  • Deep knowledge of running models at scale
  • Ability to explain value of different analytic methods, and the output of data analyses, to non-technical audiences, including executives, program managers and other staff
  • Big picture perspective and a healthy obsession with detail
  • Experience coding in SQL, Python, Spark, Hadoop, Pig and/or other tools for manipulating very large data sets
  • Demonstrated knowledge of statistical software (e.g. Stata, R, SAS, SPSS)
  • Deep curiosity and love of problem solving

At Medallia, we don’t just accept difference - we celebrate it 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 and consideration are afforded to all qualified applicants and employees. We won't unlawfully 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 category protected by law.
Medallia is committed to working with and providing reasonable accommodation to applicants with disabilities in accordance with the American Disabilities Act and state disability laws.

Meet Some of Medallia's Employees

Natalie N.

Sales Development Representative

Natalie works on the Inside Sales Team to find new customers interested in partnering with Medallia. She helps these partners improve customer experience at their respective companies.

Shwetha S.

Senior Manager, Implementations

Shwetha works with a portfolio of Medallia clients to design and implement the best customer experience programs. She works to maximize client results and make a real change in their customer experiences.

Back to top