Staff Data Scientist – AdTech 1180 views

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Marketing data science informs decisions across Uber’s global marketing efforts, accelerating both demand and supply growth worldwide. They leverage advanced statistical modeling, machine learning, or data mining techniques in a scalable manner including large scale data processing such as Spark, Hive, and Uber’s proprietary machine learning platform, and more.

About The Role

They are looking for a Staff Data Scientist to join their team to solve complex problems in measurement, forecasting, and decision science for Uber’s marketing and ad tech teams using groundbreaking machine learning and optimization and forecasting algorithms. The ideal candidate needs to have a consistent record of successfully applying rigorous scientific methods with creativity and proficiency in technical capabilities. This is a unique opportunity to apply your skills and have a direct impact on a business on a global scale.

What You’ll Do

• Build production grade models on large-scale datasets to optimize marketing performance by utilizing advanced statistical modeling, machine learning, or data mining techniques and marketing science research
• Use models to address key growth challenges and provide meaningful insights on problems such as LTV forecasting, market/individual level response modeling, cross-channel optimization, targeting optimization, and etc
• Provide thought leadership in applying innovative machine learning techniques to solve complex data science problems
• Work with cross-functional teams to implement and improve data-driven solutions
• Use large scale data processing such as Spark, Hive, and Uber’s proprietary machine learning platform, and more
• Collaborate with marketing leadership, design, product, and engineering teams
• Participate in project planning/prioritization meetings, partner meetings, etc

Basic Qualifications

• Minimum of 6 years of industry experience as a data scientist
• Expertise with Python (preferred) or R
• Expertise with machine learning techniques and advanced analytics (e.g. time series, regression, neural networks, econometrics, causal inference, mathematical optimization)
• Advanced SQL skills – comfortable working with very large data sets

Preferred Qualifications

• Ph.D. in any quantitative field
• Experience with big data using technologies like Hadoop, Hive, and Spark a plus
• Strong communication skills, organized, able to multitask and be a great teammate
• Ability to balance attention to detail with swift execution
• Hunger and drive to learn complex topics
• Passion for Uber!