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Data Scientist Market Intelligence

Plano , Texas

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As a data scientist in the Chief Data Office (CDO) group, you’ll use your talent for breaking down business challenges into data-driven problems that guide improvements in customer satisfaction and generate millions in savings and potentially revenue.  Your solutions could influence everything from fleet optimization and energy efficiency to content analytics and marketing – often before the problem even happens. Add the ongoing skill development and collaboration with some of the brightest minds in the field, and you will be poised to make an impact.  You will utilize the latest machine learning and statistical algorithms to create predictive and prescriptive models by detecting and exploiting patterns in massive datasets. You will also create data visualizations and give presentations that will help key stakeholders in their decision making process.
Ready to combine your skills and experience with our innovative technology solutions? We are looking for candidates who love learning new things, like playing with data and want to get things done. We need people that feel comfortable across the entire spectrum of data science, from meeting with business


Additional Information:

Requirements
  • An advanced degree in a quantitative field preferred
  • Programming experience with a programming language (preferably Java, Python or R)
  • Knowledge of Unix/Linux systems
  • Self-starter and team player
  • Passionate about constantly learning new skills in a fast-paced environment
  • Ability to communicate with a wide range of audiences, from executives who need the big picture to expert peers that want to learn from your work
  • Capacity to translate complex and open-ended business challenges into concise data-driven problems
Preferred Qualifications
  • Experience creating models utilizing Machine Learning and/or Statistics
  • Great intuition, curiosity and skepticism when analyzing data
  • Experience designing and implementing your own algorithms and data structures
  • Exposure to the Hadoop Ecosystem tools (e.g Spark, MapReduce/Tez) or other big data technologies
  • Experience manipulating big and noisy datasets (e.q. SQL, Pig, Hive)
Bonus Points
  • Competitive Programmer or Competitive Data Scientist
  • Committer to Open Source Projects
  • Development of personal projects
  • Knowledge of scalable data visualization techniques
  • Ability to create prototypes quickly
  • Experience manipulating and analyzing large datasets
  • Contributing author on publications in graph methods
  • Knowledge Graph and Knowledge Representation experience
  • Distributed graph processing experience
  • Startup, consulting or leadership experience
Education and Experience
  • Professional Level: Preferred Bachelors of Science in Computer Science, Math or Scientific Computing; Data Analytics, Machine Learning or Business Analyst nanodegree; or equivalent experience. Typically requires 5-8 years experience or PhD or Masters in an approved field with no minimum years of relevant experience.
  • Senior Level: Preferred Bachelors of Science in Computer Science, Math or Scientific Computing; Data Analytics, Machine Learning or Business Analyst nanodegree; or equivalent experience. Experience: Typically requires 8-10 years experience or PhD or Masters in an approved field with a minimum of 2 years of relevant experience.
  • Principal Level: Preferred Masters of Science in Computer Science, Math or Scientific Computing; Data Analytics, Machine Learning or Business Analyst nanodegree; or equivalent experience. Experience: Typically requires 10 or more years experience or PhD in an approved field with a minimum of 6 years of relevant experience
This position requires Daily Office Presence in Plano, TX. No relocation assistance is provided.


Job ID 1825553 Date posted 06/09/2018

Big Data Intern

Pros

Good experience overall. Colleagues were very helpful. Atmosphere was chilled out and there was no rush to complete the project. Was given ample amount of time to understand the project and contribute.

Cons

People are laid back and don't take initiative to do something new or optimize existing stuff. It's not primarily engineering company so if you know how to talk, you will go far longer in career.

Current Employee - Principal Business Manager
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