Yelp Comment Remover Job in UK

Company Name: Yelp

Job Name: Senior Applied Scientist

Salary: £20 – £30/Hour

Qualification: Graduation

Location: U.K

Full Job Description

The foundation of the Yelp engineering culture is laid by our values, which include collaboration, individual authenticity, and the encouragement of creative problem-solving. With the aid of managers, mentors, and teams, we strive to maximize individual impact, and all new engineers release functional code within their first week of employment. In the end, everything we do is focused on serving our users, growing as engineers, and having fun together.
The goal of Yelp’s Ads team is to develop a valuable, healthy marketplace between consumers and advertisers by working on complex, multi-disciplinary problems at scale spanning machine learning, data structures and algorithms, optimization, statistics, and distributed systems.
As a Senior Applied Scientist in the Ads division, you will be a part of a team that focuses on dynamically optimizing the distribution of ad campaign budgets across various channels.
You must reside in the UK to be eligible for this opportunity. We welcome your application even if you don’t feel that you completely meet the requirements listed in this job posting. At Yelp, we don’t just want people who tick the right boxes; we want great people.

Choose the most appropriate modeling strategy (for example, reinforcement learning, machine learning, forecasting, or mathematical optimization). ) by turning ambiguous business requirements into mathematical issues. ).
Together with the Product team, pinpoint and develop business opportunities, and assist in establishing the team’s roadmap.
Create dependable, scalable, and maintainable solutions that incorporate algorithmic features that you and other applied scientists have prototyped in close collaboration with software engineers.
Choose the most effective strategy (simulation, A/B or MVT testing, geo experiments, etc.). ) in close cooperation with data scientists. ) to confirm financial outcomes.
Applied science projects require independent direction and management.

model- and algorithm-based features that add value to organizations have a track record of success.
extensive practical expertise in traditional machine learning, as well as in-depth theoretical understanding.
knowledge of mathematical optimization from the field, such as mixed-integer linear programming, dynamic programming, etc. ) in a relevant area, such as control engineering, pricing and revenue optimization, logistics optimization, or online advertising.
industry knowledge of large-scale experiments, ideally involving intricate network effects.
having knowledge of Python-related tools like pandas, Matplotlib, NumPy, SciPy, Scikit-Learn, XGBoost, and statsmodels.
the capacity for productive collaboration with software engineers.
the ability to thrive in a high-impact, hurried environment.

a productive workplace environment, a cooperative team, and complete ownership of projects from the outset.
an employee stock purchase program, a pension plan, and a salary that is competitive.
One floating holiday is added to the 25 paid vacation days (which increase to 29 with service).
To assist with the costs of remote working, a £150 monthly reimbursement is offered.
caregivers who assist families with child care are paid £81.
covered by private health insurance are dental and vision care.
Flexible hours and no meetings on Wednesdays.
Regular 3-day hackathons, biweekly study groups, and productivity spending to support and encourage.
your advancement in the workplace.
the chance to participate in online conferences and events.
£81 per month to be used for reasonable healthcare expenses.
team retreats every week..

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