Position Summary

Our Team

The Global Data & Advanced Analytics team enables Discovery Inc to turn data into action. Using big data platforms, data warehousing and business intelligence technology, audience data, advanced analytics, data science, visualization, and self-service analytics, this team supports global company efforts to increase revenue, drive audiences, and enhance consumer engagement.

The Role

As part of a growing team that is innovating the way Discovery does business around the world, the Data Science Sr. Manager will be responsible for managing and executing high impact data science projects to support our Ad Sales, Finance, Research, and Media business partners. These efforts will include optimization of revenue, viewership, engagement, retention, content value, and customer value for multiple media platforms. Specifically, you’ll be responsible for managing the development and operationalization of mathematical/statistical analyses, hypothesis tests, and algorithms/models. You’ll also be responsible for managing refinement and execution of operationalized algorithms and models.

You’ll need to be an innovative forward-thinker who will manage end-to-end execution of data science initiatives, mentor and direct data scientists, and contribute directly to existing and emerging business strategies and goals. Communication and ability to work in a collaborative team environment are essential.

You’ll work with the Global Data Science Team Lead, data & analytics team, data engineering team, and business stakeholders to manage development, refinement, and scaling of data products. Therefore, this role requires strong technical and communication skills, creativity and attention to detail, experience managing data scientists, and experience managing data science projects from end-to-end – from use case definition to final product delivery.

Responsibilities

Management Responsibilities 
1. Meet with business stakeholders to flush out use cases and key requirements
2. Collaborate with data & technology teams to identify & source data sets required for analyses
3. Provide regular updates to and receive strategic direction from Global Data Science Team Lead 
4. Support Global Data Science Team Lead in setting up cadence of regular communication with senior level management and business stakeholders
5. Agree on project deliverable timelines with data scientists & relevant data, technology, and business partners; Manage project execution according to agreed timelines 
6. Provide direction to data scientists and review data science approaches, code, & deliverables
7. Prepare and communicate insights from analyses to Global Data Science Team, senior level management, and business stakeholders in clear business terms
8. Assist in making data science techniques approachable and understandable to non-data scientists
9. Identify appropriate data science solutions as new data-centric business problems arise 
10. Support Global Data Science Team Lead in developing and implementing data science framework, processes, and best practices
11. Stay current with new data science methods, technologies, and industry trends

Technical Responsibilities 
1. Apply data mining techniques to cleanse and explore large, complex data sets in preparation for further analysis
2. Apply appropriate data reduction, feature selection, and feature engineering techniques
3. Develop and implement hypothesis tests
4. Develop, validate, and operationalize appropriate mathematical and statistical algorithms and models; including implementation on large scale systems
5. Review, make enhancements to, and execute operationalized algorithms and models
6. Develop data products to communicate insights to business stakeholders
7. Collaborate with data & technology teams to create repeatable processes and scalable data products

Requirements

* Master’s or PhD degree in a quantitative field (statistics, computer science, physics, etc.) 
* Minimum of 5-8 years proven business experience and technical expertise in data science 
* Experience cleansing and preparing large, complex datasets for analysis
* Expertise applying statistics or machine learning in a professional or other intensive problem-solving environment with large, complex datasets 
* Experience with hypothesis testing, clustering, regression & classification, time series analysis, & optimization
* Expertise in statistical programming languages such as R or the Python scientific stack (NumPy, SciPy, scikit-learn, etc.)
* Professional-level expertise in developing, validating, and executing algorithms and models on large scale systems
* Experience with SQL
* Experience with Amazon Web Services (RedShift, S3, EC2, EMR, etc.) and Apache Spark preferred
* Familiarity with data visualization applications, like Tableau or RShiny
* Self-starter with strong analytical, critical thinking, and problem solving skills
* Excellent communication skills -- ability to present complex information in a concise and compelling manner
* Previous management of data science project execution and data scientists 
* Prior media or direct-to-consumer industry experience preferred

* Must have the legal right to work in the United States