Staff Scientist - Ads & Offers

Uber; Toronto; On-site; CAD 189,000 - 210,000; Full time

Job summary

A leading technology company in Toronto is looking for a Staff Scientist to enhance their Ads & Offers platform. The candidate will build advanced statistical and machine learning models and collaborate with cross-functional teams. Ideal applicants should have a Ph.D. in a quantitative field and at least 4 years of experience in data science. Competitive salary and comprehensive benefits are offered, including potential bonuses and equity awards.

Benefits

Participation in bonus program

Equity awards

Comprehensive benefits

Qualifications

• Minimum 4 years of experience as an Applied or Data Scientist.
• Knowledge of statistics, machine learning, optimization, and analytics.
• Experience in experimental design and analysis.

Responsibilities

• Build statistical, optimization, and machine learning models.
• Design and execute product experiments for actionable conclusions.
• Collaborate with cross-functional teams for system development.

Skills

Statistical modeling

Machine learning

Data analysis

Python

SQL

Education

Ph.D. or M.S. in relevant field

Tools

R

Job description

Overview

Staff Scientist - Ads & Offers at Uber. Every day thousands of merchants use our Advertising and Offers platform to reach users on Uber to grow their businesses. The Science team on Ads & Offers designs and builds the core algorithmic components of this system. As a Staff Scientist on the team, you will work on understanding how various parts of the system (e.g., auction, pacing, bidding, ranking) are performing. You will lead the design and implementation of new algorithms to make our Ads system more efficient and performant. You will also work on the interaction of ads with the different marketing levers available to merchants, like offers. We are looking for experienced candidates who have built Ads systems to help accelerate our growth. The ideal candidate should possess a strong passion for understanding complex systems, have the curiosity to understand why systems behave in certain ways, and have the drive to research / propose new system designs with pragmatism.

What You\'ll Do

• Build statistical, optimization, and machine learning models for a range of applications in the Ads & Offers space (e.g., auction, bidding, pacing, ranking).
• Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
• Use data to understand product performance and identify improvement opportunities.
• Present findings to senior management to inform business decisions.
• Collaborate with cross-functional teams across disciplines such as product, engineering, and marketing to drive system development end-to-end from ideation to productionization.

Basic Qualifications

• Ph.D., or M.S. in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
• Minimum 4 years of industry experience as an Applied or Data Scientist or equivalent.
• Knowledge of the underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
• Experience in experimental design and analysis.
• Experience with exploratory data analysis, statistical analysis and testing, and model development.
• Ability to use Python or R to work efficiently at scale with large data sets.

Preferred Qualifications

• 6+ years of industry experience.
• Proficiency in SQL.
• Experience in algorithm development and prototyping.
• Experience in building Ads Delivery systems.
• Experience with productionizing algorithms for real-time systems.
• Excellent communication and presentation skills.

Compensation and Benefits

Salary ranges vary by location. For reference, CAD$189,000–CAD$210,000 (Canada) and USD$212,000–USD$235,500 (US). You will be eligible to participate in Uber\'s bonus program and may be offered an equity award and other compensation. Benefits details are available at the benefits page: https://www.uber.com/careers/benefits

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Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Research, Analyst, and Information Technology

Industries

• Internet Marketplace Platforms