Date: November 15, 2017

Warren Averett Staffing and Recruiting is seeking an experienced Data Scientist to join a growing company in Birmingham, AL.

Job Description

The Data Scientist will help discover the valuable meanings hidden in our vast data lake ultimately allowing us to make smarter decisions and deliver incredible solutions. We are seeking a Data Scientist that can unleash the potential of machine learning and Big Data to solve critical business challenges and unearth new opportunities.

Responsibilities

  • Create data-driven machine learning, Big Data, and modeling solutions that revamp our processes or produce data products
  • Collect data for ad hoc, statistical analyses and data mining using STATE-OF-THE ART methods
  • Initiate and lead the development, collection and organization of data for ad hoc and statistical analyses
  • Excellent understanding of machine learning techniques and experience with common data science tools
  • Identify methods that allow continuous and automated statistical testing to enhance the predictability of deployed models
  • Maintain relationships between business-area clients, business intelligence and IT so all teams are aligned to meet team objectives
  • Present and communicate conclusions, solutions and complex analyses clearly to all audiences

Requirements

  • 8-10 years of experience with a Master’s degree in a STEM field, like but not limited to: Computer Science, statistics, applied mathematics, operations research, engineering, economics, social sciences, physics and chemistry
  • A quantitative, technical background in addition to being very curious
  • Proficient with SQL and NoSQL databases and data
  • Significant experience with AWS tools and services for storing and exploring data, such as: S3, Dynamo, RDS, Athena, Redshift, EMR…Etc.

Preferred Skills

  • Previous experience in construction, oil, and gas, or other related industries is a huge “plus”
  • Experience working with raw and missing data
  • Applied statistics skills such as distributions, statistical testing and regression

Submit Resume