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Principal Data Scientist

Company: Comcast
Location: Philadelphia
Posted on: May 5, 2021

Job Description:

Job SummaryResponsible for leveraging internal and external data to provide insights and information which supports a facts-based decision-making process. Provides input into strategy, analysis methods, and tool selection. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise.Job DescriptionCore Responsibilities

  • Develop and deploy predictive models based on historical data that provide future predictions about customer behavior
  • Develop data mining, machine learning, statistical and graph-based algorithms designed to analyze massive data sets for business insights and partner with the data engineering team to ensure proper implementation and usage of algorithms
  • Lead a small group of less experienced team members on analytical projects or on cross-functional teams. Frequently serves as team lead on multiple projects, mentor and train junior team members.
  • Review and approve methodologies used for advanced analysis projects (predictive models, clustering/segmentation, etc) by junior team members and others
  • Lead complex projects using wide breadth of data sciences and advanced techniques.
  • Manages the review, revision and maintenance of existing internal procedures to ensure quality and efficiency.
  • Determine appropriate methods, prove viability of selected method and educate internal teams as to the analytical foundation.
  • Use analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools, and machine learning techniques and statistics (e. g., predictive models, LTV, propensity models).
  • Lead large scale projects that utilize online & offline data, structured & unstructured data, set top box data (media/behavioral/attitudinal) to build customer centric models and optimization tools.
  • Consistent exercise of independent judgment and discretion in matters of significance.
  • Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary.
  • Other duties and responsibilities as assigned.Education and Experience
    • Master's degree required
    • PhD in a quantitative field preferred
    • Quantitative fields such as Economics, Statistics, Mathematics, Decision Science, Operational Research, Computer Science or Engineering preferred
    • Generally requires 11+ years related experience
    • Strong communication and data presentation skills
    • Expert level proficiency with statistical probabilistic modeling techniques such as regression, tree-based methods (Random forest, GBM), neural networks, support vector machines, supervised/unsupervised clustering techniques (k-means, DBSCAN, Expectation Maximization), principal component and factor analysis, etc.
    • Expert working within enterprise data warehouse environments platforms (Teradata, Netezza, Oracle, etc.) and working within distributed computing platforms such as Hadoop and associated technologies such as SQL, HQL, MapReduce, Spark, Storm, Yarn, Kafka, Sqoop and Hive
    • Expert in 2 programming languages such as Python, R, Scala, Julia, C#, Java, C++
    • Ability to explain complex statistical problems and solutions to laymen.
    • Experience in Natural Language Processing (word categorization, topic modeling, application of machine learning to NLP) a plus
    • Experience with cloud-based ecosystems a plus
    • Experience working with GPUs to develop machine learning models a plus
    • Has a good understanding of overall business, including financial acumen, ability to convert complex data into insights and action plans, demonstrated in-depth understanding of predictive modeling life cycle and architects projects through implementationEmployees at all levels are expected to:
      • Understand our Operating Principles; make them the guidelines for how you do your job.
      • Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
      • Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
      • Win as a team - make big things happen by working together and being open to new ideas.
      • Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
      • Drive results and growth.
      • Respect and promote inclusion & diversity.
      • Do what's right for each other, our customers, investors and our communities.Disclaimer:
        • This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.Comcast is an EOE/Veterans/Disabled/LGBT employer.EducationMaster's DegreeRelevant Work Experience10 Years +Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the on our careers site for more details. Associated topics: data analyst, data analytic, data architect, data center, data engineer, data integration, data management, database, mongo database administrator, teradata

Keywords: Comcast, Philadelphia , Principal Data Scientist, Other , Philadelphia, Pennsylvania

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