Senior Machine Learning Scientist (Viator)

Detalhes da Vaga

Senior Machine Learning Scientist (Viator) Lisbon, Portugal
About Viator
Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. With 300,000+ travel experiences to explore—everything from simple tours to extreme adventures—making memories that will last a lifetime has never been easier. With industry-leading flexibility and last-minute availability, it's never too late to make any day extraordinary.
Perks of Working at Viator
Competitive compensation packages, including base salary, annual bonus, and equity.
"Work your way" with flexibility to suit your lifestyle, with a remote-friendly approach to collaboration.
Flexible schedule to support work-life balance.
Donation matching for qualifying charitable donations.
Tuition assistance for qualified programs.
Lifestyle benefit for personal use on travel, wellness, or other needs.
Travel perks including discounts.
Employee assistance program for life's challenges.
Health benefits with great coverage and competitive premiums.
Tripadvisor is looking for a Senior Machine Learning Scientist on our Viator brand. Our team works on exciting problems in e-commerce and travel, including:
Sort & Ranking
User Recommendations
User Acquisition & Retention
Online Advertising
Working across the Viator brand, you will engage in:
Bayesian Modeling
Product embeddings
Computer Vision
We understand that Machine Learning is a broad field. Whether you are an expert in Deep Learning or have expertise across multiple areas, you will be encouraged to find your niche to impact our travelers. You will deploy your solutions online and observe their impact in real-time via A/B tests as you help the company grow. You should expect to work closely with a cross-disciplinary team to develop, test, and deploy models into production regularly.
What you will bring to the team:
A postgraduate degree in Machine Learning / AI or a related discipline OR demonstrable experience with the data science lifecycle.
Proficiency in Python for numerical/statistical programming (including Numpy, Pandas, and Scikit-learn).
An understanding of MLOps and best practices around experimentation, deployment, and monitoring.
A flair for business understanding, with the ability to communicate effectively with various audiences.
We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or recruiting process, please reach out to your individual recruiter or our team at ******.
Our Values
We aspire to lead and bring us – and you – to new heights.
We're relentlessly curious and push beyond the usual.
We're better together, learning from and valuing one another.
We serve our customers, always striving for wow moments.
We strive for better, not perfect, providing a safe environment to improve and grow.
Our workplace is for everyone, valuing unique identities and experiences.
If you need a reasonable accommodation or support during the application or recruiting process, please reach out to your individual recruiter or send an email to ******.
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