WHAT YOU WILL DO

• Build production grade models on large-scale datasets to optimize marketing performance by utilizing advanced statistical modeling, machine learning, and optimization and marketing science research
• Use models to address key growth challenges and provide meaningful insights on problems such as cross-channel optimization, targeting optimization, and A/B testing
• 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 machine learning platforms
• Collaborate with marketing leadership, design, product and engineering teams
• Participate in project planning/prioritization meetings, partner meetings, etc

WHAT SKILLS AND EXPERIENCE YOU BRING

• Minimum of 2 years of working experience as a data scientist with a focus on marketing analytics, machine learning, optimization, real-time bidding (RTB) and digital campaign measurement.
• You have an advanced degree in statistics, computer science, operational research, engineering or related field. PhD preferred
• Demonstrated expertise with Python.
• Experience with Spark and TensorFlow.
• Worked extensively with machine learning techniques and advanced analytics (e.g. regression, deep learning, causal inference, mathematical optimization)
• Advanced SQL skills - comfortable working with very large data setsPreferably, you have experience with cloud environments such as AWS.