Data Scientist

Requirements

  • Master's degree or above in a STEM field, including but not limited to computer science, statistics, applied mathematics, operations research, engineering, economics, social sciences, physics and chemistry
  • 4 years of experience providing advanced analytics within a business setting
  • 1 year of data science implementation experience within a business setting
  • Experience working with raw and missing data
  • Understanding of programming fundamentals
  • Understanding of statistics
  • Excellent communication skills

What'll Make You Special
  • Experience with data visualization tools and time series
  • Working knowledge of relational databases and standard SQL query methods
  • Proficiency in at least one general programming language such as Python, Java or C/C++
  • Experience working with big data within a Hadoop environment
  • Experience working with R, SAS or other statistical packages
  • Advanced experience with statistical, econometric or data-mining tools and methods
  • Experience with linear models (linear regression, generalized linear regression, logistic regression) and nonlinear modeling techniques
  • Knowledge of advanced nonlinear techniques, including smoothing and ensemble methods

The Data Scientist delves into the recesses of large data sets of structured, semi-structured and unstructured data to discover hidden knowledge about our business and develop methods to leverage that knowledge within our line of business. The successful candidate combines strengths in mathematics and applied statics, computer science, visualization capabilities, and a healthy sense of exploration and knowledge acquisition.

Responsibilities
  • Leverage your knowledge of programming, mathematics and computer science to transform the way our company does business
  • Translate business opportunities into data-driven machine learning, big data and modeling solutions that revamp our processes or produce data products
  • Develop and collect data for ad hoc and statistical analyses
  • 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 Technology so all teams are aligned to meet team objectives
  • Work with project managers to develop detailed project timelines
  • Summarize and present conclusions and solutions
  • Communicate complex analyses clearly to all audiences

The Company has policies to support applicants with disabilities, including, but not limited to, policies regarding the provision of accommodations that take into account an applicant's accessibility needs due to disability. For more information, please call us at (800) 411-Jobs or email us at Jobs@MyRocketCareer.com.


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