Yelp Removing Spam Comments Job in UK (Senior Applied Scientist)

Company Name: Yelp

Job Name: Senior Applied Scientist

Salary: £20 – £30/Hour

Qualification: Graduation

Location: U.K

Full Job Description

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The Yelp engineering culture is built on the shared values of our collaborative team, which encourages individual authenticity and creative problem-solving. We work to maximize individual impact with the help of managers, mentors, and teams, and all new engineers release functional code within their first week. Helping our users, improving as engineers, and having fun as a team are ultimately what matter.
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 group that focuses on dynamically optimizing the allocation of ad campaign budgets across various channels.
To be eligible for this opportunity, you must be physically present in the United Kingdom. We would still like to receive your application even if you don’t believe you meet every single requirement in this job posting. At Yelp, we want great people—not just those who check all the boxes.

Choose the most appropriate modeling approach (forecasting, machine learning, mathematical optimization, reinforcement learning, etc.) after converting ambiguous business requirements into mathematical problems. ). ).
Work closely with the Product team to identify and develop business opportunities and to develop the group’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.
The best strategy should be chosen (through simulation, A/B or MVT testing, geo experiments, etc.). in close collaboration with data scientists. ) to confirm the financial outcomes.
independently manage and lead scientific application projects.

knowledge of modeling and the development of algorithmic features that have benefited organizations.
extensive practical expertise in traditional machine learning, as well as in-depth theoretical understanding.
Industry knowledge of mathematical optimization (e. g. mixed-integer linear programming, dynamic programming, etc. ) in a relevant area, such as control engineering, pricing and revenue optimization, logistics optimization, and online advertising.
work-related exposure to large-scale experiments, ideally involving complex network effects.
proficiency with Python, including familiarity with pandas, Matplotlib, NumPy, SciPy, scikit-learn, XGBoost, and statsmodels.
the capacity to work effectively with software engineers.
the ability to thrive in a high-impact, hurried environment.

a productive team, complete ownership of projects from the start, and an exciting work environment.
a pension plan, a salary that is competitive, and an optional program for employees to buy stock.
25 days total paid vacation plus one floating holiday, with a cap of 29 days with service.
£150 per month in reimbursement for the costs associated with remote work.
£81 in compensation for caregivers to assist families with child care.
private health insurance that includes eye and dental care.
Flexibility in work hours and no meetings on Wednesdays.
Regular 3-day hackathons, biweekly learning sessions, and productivity incentives are all used to support and promote productivity.
your career’s advancement.
opportunities for online participation in conferences and events.
£81 per month to be used for reasonable medical expenses.
team retreats every week.