Yelp User Operations Associate Content Moderation @ privatejobsmumbai ( Senior Applied Scientist )

Company Name: Yelp

Job Name: Senior Applied Scientist

Salary: RM60 – RM100/Hour

Qualification: Bachelor Degree

Location: Kedah, Malaysia

Yelp User Operations Associate Content Moderation

DESCRIPTION:

Yelp’s engineering culture guides our values: we are a collaborative team that values individual authenticity and encourages creative problem solving. All new engineers deploy code within their first week, and we strive to expand each individual’s impact with support from managers, mentors, and team members. Ultimately, our goal is to help our employees, grow as engineers, and have fun in a social environment.

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Are you interested in learning machine learning, statistics, and mathematical optimization models to make advanced automated decisions with high impact? Want to help local businesses grow and succeed? The Yelp campaign team works on big, complex, multifaceted problems related to machine learning, data processing and algorithms, optimization, statistics and distributed systems, with the goal of creating health and appreciation among customers and people. advertising. As an applied scientist within the media team, you will join a team focused on optimizing the allocation of advertising budgets across multiple channels.

Please note that this opportunity is only available in person at the office and requires any presence in our office space (Monday to Friday). This task cannot be completed immediately. We would love for you to apply, even if you don’t think you meet all the requirements for this role. At Yelp, we’re looking for great people, not just people who tick all the boxes.

What to do:

Translate abstract business language into mathematical problems and identify appropriate modeling methods (machine learning, prediction, mathematical optimization, reinforcement learning, etc.). Collaborate with product teams to identify and develop business opportunities and shape the team’s strategy.
Work with software engineers to develop reliable, scalable, and maintainable solutions that incorporate algorithmic work that you and other applied scientists already have. Collaborate with scientists to determine appropriate strategies (emulation, A/B or MVT testing, field research, etc.) to support business results.
Independently manage and direct applied science projects.

What it takes to be successful:

Proven track record in creating value for organizations through innovation and algorithm development.
Deep learning process knowledge and extensive experience in traditional machine learning industries. Industrial experience in mathematical optimization (mixed integer linear programming, dynamic programming, etc.) in important areas, such as online advertising, price and finance optimization, inventory optimization, control management, etc.
Industry experience with large-scale testing, preferably involving complex network effects. Expertise in Python including pandas, Matplotlib, NumPy, SciPy, scikit-learn, XGBoost and statsmodels.
Adequate software skills to work effectively with software engineers. Your ability to thrive in a fast-paced, high-impact environment.