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Posted: Monday, May 8, 2017 6:31 AM


The Customer Engagement team at Verizon is hiring for a Data Scientist to work on existing and new challenges within the realm of customer service / customer engagement, in particular within the field of customer journey and cross-channelanalytics.

Job Role:

Perform ad hoc statistical, data mining, and machine learning analysis on complex business problems related to call volumes, customer experience and call deflection.
Create innovative algorithms behind a variety of multi-segments.
Collaborate and work closely with various Business, IT and Marketing teams.
Develop and Design advance predictive analysis models using R or SAS.
Work with IT to integrate new technologies into workflows (ex: Hadoop).


Enhancing Customer Engagement
Improving Customer Sentiment
Solving for Churn and other detractors
Reducing Business Costs
Research data to improve customer engagement. Finding and fixing customer pain points.
Research data to predict the probability of customer actions & looking at certain sentiment and behavior aspects of customers.
Work with large sets of data.

Have proven analytical skills.
Have the drive to innovate and drive actionable results.
Have the ability to prioritize, focus on ideas and features that will have significant impact and value.
Have the ability to quantify and measure impacts of solutions.
Understand, categorize, organize, and interpret heterogeneous data sets.
Design experiments, test hypotheses, and work with prototypes and models.
Be involved in the transition from prototyping to production.
Have the ability to collaborate with architects, engineers, and QA teams.
Ability to communicate results and progress internally and externally in meetings, presentations and technical talks.
Ability to communicate at a practitioner level as well as at a senior-executive level.
Having experience in Telecom or Online Media is a plus.


Bachelor’s degree or equivalent work experience.
Min 5 years experience.
Advanced degree in a quantitative discipline (like, mathematics, statistics, economics, operations research, computer science, physics, etc.).
Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing (A/B testing), and optimization algorithms.
Ability to comprehend and analyze business needs and translate into technical requirements.
Experience working with large datasets using tools like SQL, Hadoop, MapReduce, Pig/Hive, Spark/Shark, and Integration tools (like Alteryx, Birst, Lavastorm, Pentaho, etc.).
Experience in using statistical modeling and distributed machine learning algorithms on large data sets.
Proficiency in the use of statistical packages like R, Matlab, SciPy or Weka.
Knowledge in Distributed Processing Framework for large data sets analysis and working knowledge in map-reduce architectures (HDFS).
Experience with SQL, Unix/Linux, and a scripting language such as Python, Perl or Ruby.
Expertise with shell scripting and automation

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• Location: North DFW

• Post ID: 49933853 northdfw
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