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Sr. Data Scientist

Company: comcast
Location: Philadelphia
Posted on: February 25, 2021

Job Description:

Job DescriptionJob Summary Responsible 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 Description Core 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. * Review and approve methodologies used for advanced analysis projects (predictive models, clustering/segmentation) by junior team members and others. * Involve in 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). * Involve in large scale projects that utilize online and 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 in variable schedule(s) as necessary. * Other duties and responsibilities as assigned. Desired Skills * Experience building and running stable, scalable pipelines to structure and to integrate Big Data. * Experience with elastic storage and categorizing data in a Data Lake repository * Experience with designing, building, and deploying MLOps pipelines * Experience using statistical computer languages (R, Python, SQL) * Strong analytic and algorithmic skills * Experience using machine learning algorithms to catalog data preferred Desired Technical Experience * Knowledge of a variety of techniques and when/how to apply to problems: statistical modeling, machine learning, deep learning, natural language processing, data mining, and reinforcement learning * Developing repeatable, dynamic, and scalable models that are seamlessly incorporated into data analytic products * Building and running stable, scalable pipelines for large scale data * Hands-on development experience in Java/Scala/HBase/Kafka/Spark/Python Education and Experience * Master's degree required. PhD in a quantitative field preferred * Generally requires 3+ years related experience * Intermediate to 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 * 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 at least one programming language such as Python, R, Scala, Julia, C#, Java, C++ * Ability to explain complex statistical problems and solutions to laymen * 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 implementation Employees 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 oth

Keywords: comcast, Philadelphia , Sr. Data Scientist, Other , Philadelphia, Pennsylvania

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