Machine Learning Scientist II
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Position Overview & Specifications
About the Role
The Tripadvisor Data Science Team is looking for an exceptional experienced individual to help lead the design and building next generation systems to understand our travelers and products to improve customer experience. Such work will allow a significant improvement in our ability to offer to travelers the broadest, most relevant travel products (e.g., tell me the most family-friendly summertime activities in Paris). This individual will have the opportunity to lead projects on the team, including those related to recommendations, text processing, and image processing.
Tripadvisor is the web's leading travel information site. At Tripadvisor, the Data Science Team creates systems that influence the travel decisions of millions of people per day. It applies cutting edge machine learning techniques to a wide variety of areas, including recommenders, vision, text processing, and natural language processing. To ensure continued success, Tripadvisor promotes a culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences. Have a great time while shaping the future of travel!
What You'll Do
- Experience with Personalization, recommender systems, collaborative filtering, embeddings, and user lifetime value
- Seek out new opportunities to apply data science and machine learning to the business (e.g., personalized recommendations, performance marketing, customer modeling) across all channels (e.g., Web, email, paid marketing)
- Has experience working with other teams in solving problems and identifying opportunities
- Lead the design of machine learning models to solve a variety of core business problems in customer acquisition, retention, and reactivation
- Automate ETL pipelines
- Prototype, evaluate, optimize deploy, and maintain new models in production
- Design AB tests and analyze their results
- Discover new ways to analyze and interpret the data
- Communicate progress and interpretation of experimental results to technical and business stakeholders
- Lead the determination of next steps for each project
- Adopt cutting edge technologies to internal problems
- Create and champion new opportunities that can affect the entire organization.
- PhD or Masters in Computer Science, Engineering, Statistics, or related field preferred
- Knowledge of AB test design and analysis
- Strong background in machine learning and statistics
- Strong foundation on data structures and algorithms
- Proficiency in Python for numerical/statistical programming (our group relies heavily on Numpy/Pandas/Scikit-learn)
- Ability to write complex SQL queries
- Experience with big data technologies, such as Hive and Spark
- Track record of leading the deployment and maintenance of models
- 3+ years of relevant, practical experience
- Team player
- Loves to learn
- Great communication skills with both technical and non-technical partners
- Gets things done on time and on specification
- Can work independently
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\#LI-Hybrid
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (Β£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: Internet & Web Services
Based on transatlantic hiring benchmarks for Machine Learning Scientist II roles across Tripadvisor's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Internet & Web Services.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.
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