Data Scientist

Passionate about development in leading technologies? Looking to become a major player on a diverse team in your next career adventure? Koddi Data Scientists drive innovation by embracing challenges and leveraging decision science to solve complex problems in adtech. In this position, you will be responsible for designing, building, and deploying complex systems to model and glean useful insights from billions of rows of data. You will inform decisions based on complex statistical modeling using machine learning, optimizing and forecasting algorithms powered by industry-leading technologies.

WHAT YOU WILL DO

• Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
• Build production grade models on large-scale datasets to optimize Ad delivery, relevancy 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

WHO YOU ARE

• 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 sets preferably, you have experience with cloud environments such as AWS.