Urgently || Looking For || Data Scientist || at Philadelphia, PA ||
for 6+ Months
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NO OPTS AND CPTS ACCEPTED. NEED AT LEAST 9+ YEARS OF EXPERIENCE.
PLEASE REPLY WITH RELEVANT PROFILES.
JOB TITLE: DATA SCIENTIST
LOCATION: PHILADELPHIA, PA
DURATION: 6+ MONTHS APPROX.
JOB DESCRIPTION:
DATA SCIENTIST:
* Xfinity Mobile, available exclusively to its cable customers,
allows existing Internet customers to add wireless cellphone services
to their current product bundle. Client utilizes its vast number of
Xfinity Hotspots for coverage and piggybacks on the existing wireless
platform of Verizon to provide an affordable solution for wireless
services to our customers.
* The Xfinity Mobile Business Intelligence team is looking for a Data
Scientist who can dive into unknown data and do deep analysis –
prove causation or prove data is related and therefore one causes the
other. You will support our operations and data architecture teams
with insights gained from analyzing company data. You must be that
person who can create value out of data.
* The ideal candidate is adept at using large data sets to find
opportunities for product and process optimization and using models to
test the effectiveness of different courses of action. Such a person
proactively fetches information from various sources and analyzes it
for better understanding about how the business performs.
Additionally, they can utilize AI tools to automate certain
processes within the Xfinity Mobile.
This person must have strong experience using a variety of data
mining/data analysis methods, using a variety of data tools, building
and implementing models, using/creating algorithms and
creating/running simulations. They must have a proven ability to drive
business results with their data-based insights. They must be
comfortable working with a wide range of stakeholders and functional
teams. The right candidate will have a passion for discovering
solutions hidden in large data sets and working with stakeholders to
improve business outcomes. This Data Scientist must possess the
skill-sets necessary to hit the ground running and must be willing to
learn about the mobile phone business while solving problems quickly
and efficiently.
SEE YOURSELF:
* Working with stakeholders throughout the organization to identify
opportunities for leveraging company data to drive business 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.
MINIMUM REQUIREMENTS:
* Four-year degree in a related Computer Science, Math or Statistical
field of study.
* 7+ continuous years of professional experience as a Data Scientist.
* Strong 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.
* Experience working with and creating data architectures.
* 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.
* A drive to learn and master new technologies and techniques.
* Coding knowledge and experience with several languages: C, C++,
Java, JavaScript, etc.
* SUPERB communication skills with an emphasis on writing and
interpreting abilities
* Excellent presentation skills. Must have the ability to confirm
complex data into digestible formats for non-technical business teams.
THANKS AND REGARDS.
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