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Data Science Engineer

Company: Comcast Corporation
Location: Sunnyvale
Posted on: July 16, 2019

Job Description:

Comcast's Technology & Product organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards.At Comcast Silicon Valley Innovation Center-- (CSV) we---re changing the way America views entertainment. Literally. If you love being on the cutting edge, we would love for you to be a part of changing Comcast---s history.--We---re looking for a dedicated and passionate Data Science Engineer to join our cloud networking team. As a Data Science Engineer,-- you will be part of a team to build data pipelines and data processes to help calculate metrics, enforce data quality and scale increasingly sophisticated models of users and content. As a Data Science Engineer,-- you will build datasets and make them accessible to our partner teams by writing great production code to simplify the complexity. Your work will enable Product Managers and other decision-makers across the company to bring together insights and inform our product and strategy.--Responsibilities:

Design and develop a data science platform to manage data, train, evaluate, deploy models, make predictions, and monitor predictions.--Lead development and implementation of scalable scientific solutions for the forecasting of advertisement audiences, currencies and inventories.-- Manage challenges associated with investigating and understanding large datasets, and building models based on Big Data solutions.Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.Assess the effectiveness and accuracy of new data sources and data gathering techniques.Develop custom data models and algorithms to apply to data sets.Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.Coordinate with different functional teams to implement models and monitor outcomes.Develop processes and tools to monitor and analyze model performance and data accuracy.Proactively problem solve and identify areas of improvement to guide development of industry leading tools.Define data strategy and data processes through complex analysis of rich streams of unstructured data to find correlations between events and identify opportunities to optimize defined desired outcomes--Develop data mining, machine learning, statistical and graph-based algorithms designed to analyze massive data sets for business insights.--Develop system that supports traditional ML models, time series forecasting, and deep learning--Evaluate data accuracy, completeness, timeliness and stability to establish repeatable, sustainable processes to maintain--Qualifications:--
--5 years of experience manipulating data sets and building statistical models--Master---s Degree in Statistics, Mathematics, Computer Science or another quantitative fieldStrong problem solving skills with an emphasis on product development.Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.Excellent written and verbal communication skills for coordinating across teams.Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.Knowledge and experience of working with SQL and NoSQL databasesExperience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.--About Comcast Silicon ValleyLooking for an environment with a startup vibe where your ideas affect millions of users and go from conception to deployment in a matter of days or weeks instead of months? Comcast Silicon Valley Innovation Center is hiring talented, focused and dynamic people to build a growing set of products. We are looking for people who thrive in a dynamic, cross-functional, collaborative and casual culture where passionate, skilled people let the best idea win. We offer awesome benefits including: free lunches and free on-site access to the Moffett Towers Fitness Club.Comcast is an EOE/Veterans/Disabled/LGBT employer

Keywords: Comcast Corporation, Sunnyvale , Data Science Engineer, Engineering , Sunnyvale, California

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