Job Summary
Bring a combination of mathematical rigor and innovative algorithm design to create recipes that extract relevant insights from billions of rows of data to meaningfully improve Comcast user experience. Do you likebigchallenges and working within ahighly-motivatedteam environment?As a Data Scientist, you will research, develop,support and apply new techniques using real-time distributed computing architectures.You willemploy your skills to deliver insights into customer and network behavior to drive business decisions that will shape the future of Comcast and be part of a team that thrives onbigchallenges, results, quality, and agility. Who does the Data Scientist work with? The Data Engineering and Science team as part of our Next Generation Access Network is a diverse collection of professionals who work with a variety of organizational roles ranging from software engineering teams whose software integrates with analytics services, network architects and engineers, to service delivery engineers who provide support for our product, testers, operational stakeholders with all manner of information needs,and executives who rely ondatafor data based decision making. What are some interesting problems you'll be working on? Develop models capable of processingmillions of events per second and multi-billions of events per day, providing both a real time and historical view into the operation of our products and services.Work on high performance real time data stores and a massive historical data sets usingbest-of-breed and industry leading technology.Work closely with various engineering teams to solve key optimization, insight and access network data challenges. Where can you make an impact? The Comcast Next Generation Access Network Data Engineering and Science teamis acquiring, studying, simulating, and modeling to enable data as a key driver and core functional component toward better understanding, predicting, and dynamically optimizing the access network to improve overall user experience. Success in this role is best enabled by a broad mix of skills and interests ranging from traditional distributed systems software engineering prowess to the multidisciplinary field of data science.Job Description
Core Responsibilities
- Building a strong intuitive understanding of the problem domain (Next Generation Access Networks). Identify testable hypotheses to explain interesting phenomena in this domain.
Selectingand transformingfeatures, building and optimizing classifiers using machine learning techniques
Integrating data from multiple sources including third party sources.
Data mining using state-of-the-art methods
Enhancing data collection procedures to include information that is relevant for building analytic systems
Frequent meeting/communication with stakeholders to interpret their needs, plan/organize, and discuss progress and results
Developing actionable quantitative models in the areas of effectiveness, ROI, pricing and optimization.
Doing ad-hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of its performance
Creating automated evaluation environment of complex models and constant tracking of relevant performance
Develop and communicate goals, strategies, tactics, project plans, timelines, and key performance metrics to reach goals
Here are some of the specific technologies we use:
Spark(AWS EMR, Databricks), AWS Lambda
SparkStreaming and Batch
Avro, Parquet
Stream Data Platforms: Kafka, AWS Kinesis
MySQL, Cassandra,HBase,MongoDB, RDBMS
Caching Frameworks(ElasticCache/Redis)
Elasticsearch, Beats, Logstash, Kibana
Java, Scala, Go, Python, R
Git,Maven, Gradle, Jenkins
Rancher, Puppet, Concourse, Docker, Ansible, Kubernetes
Linux
Hadoop (HDFS, YARN, ZooKeeper, Hive), Presto, Athena
Keras, TensorFlow, Scikit.learn, Pandas)
Visualization suite (AWS Quicksight, Grafana)
Skills & Requirements:
Graduate degree or Phd in the following areas: Statistics, Data Science, Computer Science or relevant science or engineering discipline.
1+ years working within an enterprise data lake/warehouse environment or big data architecture
Understanding of machine learningtechniques andalgorithms, especially in the deep learning area-- both theoretical underpinnings and craft (Systems such as Tensorflow, Theano, Caffe, scikit.learn and their APIs).
Applied statistics skillsand understanding of probabilitydistributions, statistical testing, regression, etc.
Experience with common data science toolkits, such asscikit-learn, R, etc. Excellence in at least one of these is highly desirable.
Great communication skills.
Experience with data visualization tools, such as D3.js, GGplot,Matplotlib,etc.
Proficiency in using query languages such as SQL and Hive.
Experience with NoSQL databases, such asMongoDB, Redis/ElasticCache,Cassandra, HBase
Good scripting and programming skills, such as Java, Scala, R, Python, or Spark
Data-oriented personality
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 proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Skills:
Machine Learning; Decision Making; Problem Solving; Data Science; Python (Programming Language)
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 to eligible employees. 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 compensation and benefits summary on our careers site for more details.
Education
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
7-10 Years
