Discovery

  • Senior Data Scientist

    Posted Date 3 months ago(8/15/2018 7:11 AM)
    Requisition ID
    20161
    Location
    UK-London
    Career Category
    IT & Technical Operations
    Type
    Company Employee Full-Time
  • Position Summary

    As part of a growing team that is innovating the way Discovery does business around the world, the Senior Data Scientist will be responsible for executing data science projects to support our direct-to-consumer media business. These efforts will include developing predictive models to support acquisition, marketing, and product teams with LTV based acquisition strategy, CRM targeting strategy, and product personalization. Specifically, you’ll be responsible for developing and operationalizing mathematical/statistical analyses, hypothesis tests, and algorithms/models. You’ll also be responsible for refining and executing operationalized algorithms and models.

     

    You’ll need to be an innovative forward-thinker who will help lead end-to-end execution of data science initiatives, mentor and direct junior 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 Data Science Manager, data & analytics team, data engineering team, and business stakeholders to develop, refine, and scale data products. Therefore, this role requires strong technical and communication skills, creativity and attention to detail, and experience executing data science projects from end-to-end – from use case definition to final product delivery.

    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 internal stakeholders
    • Communicate insights from analyses to internal stakeholders in clear business terms
    • Assist in making data science techniques approachable and understandable to non-data scientists
    • Collaborate with business analysts and data engineering team to create repeatable processes and scalable data products
    • Identify appropriate data science solutions as new data-centric business problems arise
    • Stay current with new data science methods, technologies, and industry trends
    • Support Manager of Data Science in developing and implementing data science processes and best practices

    Requirements

    • Master’s or PhD degree in a quantitative field (statistics, mathematics, physics, etc.)
    • Self-starter with analytical thinking and problem-solving skills
    • Excellent communication skills -- ability to present complex information in concise and compelling manner to non-technical business partners
    • Expertise applying statistics or machine learning in a professional or other intensive problem-solving environment with large, complex datasets
    • Expertise in statistical programming languages such as R or the Python scientific stack (NumPy, SciPy, scikit-learn, etc.)
    • Experience cleansing and preparing large, complex datasets for analysis
    • Professional-level expertise in developing, validating, and executing algorithms and models on large scale systems
    • Prior experience implementing analyses & predictive models to support direct-to-consumer digital products (e.g., A/B testing; propensity, churn, and/or customer LTV models)
    • Experience with SQL
    • Experience with Amazon Web Services (RedShift, S3, EC2, EMR, etc.) and Apache Spark preferred
    • Experience in the media industry is a plus

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