Principal Data / ML Scientist (10173.897)



Software Engineering, Data Science
Needham, MA, USA
Posted on Friday, June 28, 2024

We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there.


POSITION: Principal Data / ML Scientist

WORKSITE: 400 First Avenue, Needham, MA 02494


  • Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency.
  • Analyze large datasets including daily customer events, product, destination, supplier and pricing info, extracting key insights to spur innovation and improvement.
  • Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives.
  • Investigate and adopt innovative concepts that offer tangible benefits.
  • Employ techniques including Deep Learning, Bayesian Modelling, Large Language Models, Product Embeddings, Recommendation Systems, and Computer Vision.

Telecommuting permitted up to 100%

REQUIREMENTS: Employer will accept a Master's degree, or foreign equivalent, in Applied Urban Science and Informatics, Data Science, Computer Science, Operations Research, Statistics or related field and 5 years of experience in the job offered or in a Principal Data / ML Scientist-related occupation.

Position requires demonstrated experience in the following:

  • Hands-on data science experience;
  • In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries;
  • Awareness of current ML techniques;
  • SQL and Python;
  • ML model productization;
  • Participating in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments; and
  • Experience in deploying online solutions and analyzing real-time results through A/B testing.

Telecommuting permitted up to 100%

Job #: 10173.897

SALARY : $150,000

TO APPLY: To apply, please e-mail resume to referencing job code 10173.897. EOE.

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