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Data Scientist in Little Rock, AR at Windstream

Date Posted: 2/8/2019

Job Snapshot

  • Employee Type:
    Full-Time
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    2/8/2019

Job Description

Job ID:19000287

Job Summary:


We are looking for a data scientist to help us with data discovery, data augmentation and model development.  Your primary focus will be data mining, statistical analysis and descriptive, predictive and propensity modelling of our customer bases.  You will also be responsible for acquisition of data sources, automation of work flows (including scoring), and working with the business on machine learning techniques.  This position requires a minimum of a BS in a related field plus 1 or more years of experience.  A masters or higher degree is preferred.


Responsibilities:

  • Automation of data acquisition
  • Data mining using various languages (including SQL and NoSQL)
  • Augmenting and enriching internal data with external sources
  • Development of statistical models
  • Taking over responsibility for current models
  • Proposing new models to our business users
  • Automating scoring of our customer base
  • Tuning existing models when needed
  • Providing reports about model performance to end users
  • Presentations to business stakeholders
  • Using model results to inform marketing decisions
  • Ad-hoc analysis

Job Requirements

Required Skills:

  • Knowledge and experience with SAS, R and other statistical/analytical tools
  • Knowledge and experience with regression modelling techniques
  • Experience with relational and unstructured databases (e.g., Oracle and MongoDB)
  • Ability to write efficient code and automation routines
  • Ability to work with business users
  • Good applied statistics skills
  • Working knowledge of scripting and programming languages (e.g., Perl, Python, Java)
  • Willingness to tackle tough problems and learn new things

Desired Skills:

  • Knowledge of reporting tools (e.g., Tableau, SSRS)
  • Knowledge of AI and machine learning techniques
  • Knowledge of Linux
  • Willingness to learn and use open-source solutions
  • Experience with Kanban and Dev/Ops
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EEO Statement: Employment at Windstream is subject to post offer, pre-employment drug testing. Equal Opportunity Employer including minority/female/disability/veteran; Without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status. Windstream is a drug-free workplace.

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