Senior ML Engineer: Marketplace Dynamics & Optimization

Yelp; Greater London; On-site; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Competitive salary

Pension scheme

25 days paid holiday

Private health insurance

Flexible working hours

Wellness expenses reimbursement

Job summary

Yelp is seeking a Machine Learning Scientist in Greater London who will focus on optimizing connections between users and service professionals. You will leverage your machine learning skills within a collaborative environment to drive significant impact business-wide.

Key responsibilities include designing experiments, analyzing data, and improving predictive models within their services. The company offers a competitive salary, flexible working hours, and a variety of employee benefits aimed at promoting growth and well-being.

Qualifications

• Experience with data analysis/statistical software and packages (pandas/statsmodels/sklearn within Python, R).
• Experience with predictive modeling/machine learning, forecasting, or causal inference.
• Comfortable working in a Unix environment.
• Sufficient software engineering skills to effectively work with software engineers.

Responsibilities

• Identify and own challenging problems, form testable hypotheses, and drive significant business impact.
• Lead the design and analysis of experiments or development of causal and predictive models.
• Collaborate with product and engineering to affect changes in production systems.

Skills

Data analysis

Machine learning

Statistical software

Software engineering skills

Research capability

Tools

Python

Unix

Job description

Yelp is seeking a Machine Learning Scientist in Greater London who will focus on optimizing connections between users and service professionals. You will leverage your machine learning skills within a collaborative environment to drive significant impact business-wide.

Key responsibilities include designing experiments, analyzing data, and improving predictive models within their services. The company offers a competitive salary, flexible working hours, and a variety of employee benefits aimed at promoting growth and well-being.