Machine Learning Scientist Ii

2 semanas atrás

Lisboa, Portugal Tripadvisor Tempo inteiro

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.

We are looking for someone who is independent, curious, and motivated; who likes discussing ideas and will bring something new to the table. You will be working in a diverse environment where you’ll collaborate with a broad multidisciplinary team of ML scientists, analysts, software engineers, and product managers. You’ll be encouraged to take ownership of your projects and to find new opportunities and problems where machine learning could be applied to improve the business. Finally, you will also be provided the environment to grow technically and personally into a leader while contributing to the team.

**About Machine Learning at Tripadvisor**:
**What you will do**:

- Participating in the design of machine learning models to solve a variety of core business problems across the Experiences business.
- Prototype, evaluate, 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
- Participate in the determination of next steps for each project

**Skills & Experience**:

- PhD or Masters in Computer Science, Engineering, Statistics, or related field preferred
- Strong foundation in machine learning and statistics
- Proficiency in Python for numerical/statistical programming (our group relies heavily on Numpy/Pandas/Scikit-learn)
- Ability to interpret and write complex SQL queries
- Experience with big data technologies, such as Hive and Spark
- Experience with the deployment and maintenance of models - tools like Kubernetes, MLflow, AWS, etc

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