Immediate Interview || Data Scientist || Philadelphia, PA || 6+
Months
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JOB TITLE: DATA SCIENTIST
LOCATION: PHILADELPHIA, PA
DURATION: 6+ MONTHS
JOB DESCRIPTION-
* 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.
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