Discovery Communications

Data Science Manager

3 weeks ago
Requisition ID
18945
UK-London
Career Category
IT & Technical Operations
Type
Company Employee Full-Time

Position Summary

Our Team

 

As Discovery Communications’ portfolio continues to grow – around the world and across platforms – the Global Technology & Operations team is building media technology and IT systems that meet the world class standard for which Discovery is known. GT&O builds, implements and maintains the business systems and technology that are critical for delivering Discovery’s products, while articulating the long-term technology strategy that will enable Discovery’s growing pay-TV, digital terrestrial, free-to-air and online services to reach more audiences on more platforms.

 

From Amsterdam to Singapore and from satellite and broadcast operations to SAP, we are driving Discovery forward on the leading edge of technology.

 

The Global Data Analytics team enables Discovery Communications 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 company efforts to increase revenue, drive ratings, 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 Manager will be responsible for managing and executing data science projects to support our international businesses. These efforts will include optimization of revenue, viewership, engagement, retention, content value, and customer value for multiple media platforms including pay TV, free-to-air TV, and direct-to-consumer digital. 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
    • Meet with business stakeholders to flush out use cases and key requirements
    • Collaborate with data & technology teams to identify & source data sets required for analyses
    • Provide regular updates to and receive strategic direction from Global Data Science Team Lead
    • Support Global Data Science Team Lead in setting up cadence of regular communication with senior level management and business stakeholders
    • Provide direction to data scientists
    • Prepare and communicate insights from analyses to Global Data Science Team, senior level management, and business stakeholders in clear business terms
    • Assist in making data science techniques approachable and understandable to non-data scientists
    • Identify appropriate data science solutions as new data-centric business problems arise
    • Support Global Data Science Team Lead in developing and implementing data science framework, processes, and best practices
    • Stay current with new data science methods, technologies, and industry trend

 

  • Technical Responsibilities
    • Apply data mining techniques to cleanse and explore large, complex data sets in preparation for further analysis
    • Apply appropriate data reduction, feature selection, and feature engineering techniques
    • Develop and implement hypothesis tests
    • Develop, validate, and operationalize appropriate mathematical and statistical algorithms and models; including implementation on large scale systems
    • Review, make enhancements to, and execute operationalized algorithms and models
    • Develop data products to communicate insights to business stakeholders
    • 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.)
  • Significant 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, social network analysis, optimization, and recommendation engines
  • 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 Amazon Web Services (RedShift, S3, EC2, EMR, etc.) and Apache Spark preferred
  • Experience with SQL and NoSQL databases
  • 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
  • Experience performing data science to support Direct to Consumer products
  • Previous management of data science project execution and data scientists

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