Sr. Data Scientist
Company: comcast
Location: Philadelphia
Posted on: February 25, 2021
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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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