What you will do
- Work closely with data scientists, software engineers, and business stakeholders to understand company goals and objectives. Translate that understanding into machine learning solutions that address business challenges and opportunities.
- Develop highly scalable machine learning and artificial intelligence solutions that address key growth challenges and provide meaningful insights on problems such as cross-channel optimization, and targeting optimization.
- 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.
- Design and execute A/B tests to answer business questions
- Provide thought leadership in applying innovative machine learning techniques to solve complex data science problems.
- Stay current with advances in machine learning research and technologies, exploring new approaches and methodologies to enhance model capabilities and effectiveness.
- Document methodologies, processes, and findings, sharing insights and best practices with the broader team to foster knowledge sharing and collaboration.
- Participate in project planning/prioritization meetings, partner meetings, etc
What skills and experience you bring
- Advanced degree in statistics, computer science, operational research, engineering or related field. PhD preferred
- Minimum 3 years of experience in a similar role.
- Experience in a similar role in adtech.
- Demonstrated expertise with Python.
- Experience with machine learning tools and platforms including: Spark, Databricks,TensorFlow, Pytorch.
- Worked extensively with machine learning techniques and advanced analytics (e.g. Deep Learning, Bandits, Causal Inference, Mathematical Optimization)
- Advanced SQL skills - comfortable working with very large data sets preferably, you have experience with cloud environments such as AWS.
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