Viator, a Tripadvisor corporate, is the largest market for reports within the shuttle business. We’ve got greater than 300,000 bookable merchandise in nearly each nation on the earth, and are serving to tens of millions of vacationers each month to find issues to do.
This can be a distinctive alternative to paintings for one of the crucial innovative firms within the reports’ house. We’re in search of a skilled Senior Information Scientist to enroll in our 12 sturdy DS&ML crew works throughout one of the crucial most fun issues in e-commerce and shuttle, together with:
- Kind & Rating
- Consumer Suggestions
- Product Figuring out
- Pricing
- Consumer Acquisition & Retention
- On-line Promoting
Operating around the Viator emblem, you’re going to paintings along seasoned Information and System Finding out Scientists on the reducing fringe of the next disciplines:
- Deep Finding out
- Bayesian Modeling
- Huge Language Fashions (LLMs)
- Product embeddings
- Recommender Methods
- Laptop Imaginative and prescient
At Viator, we take into account that Information Science and System Finding out are large and evolving fields. Whether or not you’re a seasoned knowledgeable in Deep Finding out, or have a much wider vary of experience throughout a couple of spaces, inside the Viator DS&ML crew you’re going to be inspired to seek out your area of interest to make an affect on our travellers. You’ll deploy your answers on-line and practice your paintings’s affect in real-time by way of A/B checks as you lend a hand the corporate develop. You will have to be expecting to paintings carefully with a go disciplinary crew to broaden, take a look at and deploy fashions into manufacturing often.
What abilities do I would like:
- A postgraduate level in System Finding out / AI or a similar self-discipline OR demonstrable enjoy with the knowledge science lifecycle – i.e. from drawback definition to style deployment and past (tracking and development).
- Skillability in Python for numerical/statistical programming (together with Numpy, Pandas, and Scikit-learn).
- An figuring out of MLOps and easiest practices round experimentation, deployment and tracking. You will have to be accustomed to ideas akin to information versioning, style versioning, style tracking and CI/CD for DS&ML
- An aptitude for trade figuring out, being able to be in contact successfully with audiences of quite a lot of backgrounds, ranges, and purposes.
What’s in it for me:
- Aggressive wage, bonus and inventory for all body of workers without reference to degree.
- Well being, dental, existence, important sickness and long run incapacity insurance coverage.
- Way of life get advantages – that is very cool. Yearly you’re given an allowance in your way of life, this might be for a vacation, fitness center club, circle of relatives enhance and a lot more.
- 25 days annual depart plus the times between Christmas and New 12 months as our workplaces are closed.
- Summer season flexi-time, Would possibly to September all workers can request for compressed hours in an effort to benefit from sunlight financial savings and revel in existence. We’re an enjoy corporate in any case!
This function will also be primarily based in London, Oxford or faraway in the UK.
What are you looking ahead to? Don’t extend and observe these days!
