Options Director Data Science Algorithmic Targeting
Options Director Data Science Algorithmic Targeting
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Job Description
- Own and deliver results on existing and new complex projects related to the development of targeting models using machine learning and causal uplift modeling
- Serve as a team expert in statistical methods and applied machine learning
- Drive the collection and manipulation of new data and the refinement of existing data sources
- Possess a strong understanding of the differences between inferential predictive and prescriptive models and experience applying methods in all three areas
- Work with business stakeholders to define priorities approaches and business requirements for data science solutions and experiments
- Translate complex problems and solutions to all levels of the organization
- Manage processes platforms and people in the algorithmic targeting space
- Drive innovation of the methodologies and tools used by the team
- PhD MS or 5 years research experience in computational social science applied mathematics cognitive and neural sciences economics information retrieval statistics or another quantitative/computational discipline
- 7 years of combined experience in advanced analytics in industry or research experience (preferably in the uplift causal and/or treatment effect modelling field)
- Experience in leading small teams on commercial projects.
- Advanced level knowledge of statistical methods and machine learning. Ability to define the direction for a project and select appropriate methods and tools using up to date knowledge of recent advancements (especially those that include contextual bandits and policy optimization)
- Experience using data visualization tools and techniques to deliver and present business insights and value
- Experience designing performance metrics and using machine learning for feature engineering
- Experience implementing scalable systems using Google Cloud (Google Cloud Platform) or similar cloud platform.
- Expert in Python and SQL
- Experience with ownership of data products either internal or consumerfacing
- Experience owning data pipelines and machine learning pipelines using airflow
- Experience in a subscription and active userdriven business
- 3 years of people management experience in data science or machine learning engineering
- Strong oral and written communication skills
- Excitement for selling and presenting Machine Learning to drive product development
- Team oriented and collaborative approach with a demonstrated aptitude and willingness to mentor and teach
- Pride and ownership in your teams work and confident representation of your team to other parts of NBCUniversal
google cloud,data visualization,advanced,data,google cloud platform,google,data collection and manipulation,causal uplift modeling,python,sql,models,learning,data science,feature engineering,cloud,airflow,machine learning,statistical methods,drive
Employment Type
Full Time
Company Industry
Key Skills
- Healthcare Attorney
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