Job Details

  • Title: Data Scientist
  • Code: RCI-23501
  • Location: Austin, TX 78759
  • Posted Date: 05/23/2022
  • Duration: 3 Months
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  Job Description


  • Particularly skilled in quantitative analysis and data management
  • Utilize technologies to collect, clean, analyze, predict, and effectively communicate information
  • Able to examine relevant data and quickly develop an analysis plan that will answer key business questions and create value for the client
  • Understanding of machine learning algorithms and advanced statistics such as: regression, time-series forecasting, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, optimization, unstructured data analysis, and neural networks
  • Works with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need
  • Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to the client
  • Work closely with the business to understand the domain and iteratively refine analyses

Main Responsibilities

  • Able to train and develop junior data scientists and provide technical/analytical guidance when needed
  • Moves own work forward with limited direction through use of frameworks and structure
  • Helps to scope studies – timeline, expected outcomes, resources, etc.
  • Proactive thinking and ideation to facilitate ongoing, open dialogue where information and ideas are shared to generate solutions


  • Bachelors Degree (± 16 years) in Computer Science, Data Analytics or similar discipline including Mathematics, Statistics, Physics, or Engineering is preferred


  • Minimum 2 years experience    
  • Work related experience with degree or sufficient transferable experience to demonstrate functional equivalence to a degree
  • Intermediate programming experience (eg. Python, R, Java, Scala, C++ in Linux/Unix and/or equivalent)
  • Working experience with database applications
  • Experience with and understanding operational or strategic systems and/or building tools