Back to Job Search

Sr. Data Scientist

  • Location: Anywhere , TX, 77002
  • Job Type:Contract

Posted 23 days ago

100% remote contract opportunity for a Sr. Data Engineer to join a multinational global company.

As a Sr. Data Scientist on this special project, you will play an instrumental role in the definition, build and development of our data tool that will help large corporations “de-carbonize” in concert with our carbon neutral initiative. You are deeply technical, have keen product intuition, and can quickly toggle between first-order problem-solving and modeling techniques. You are a great team player and enjoy working with a group of devoted cross-functional partners to "make things happen".

What You'll Do

  • Bring strong technical expertise to help drive profitability
  • Build and productionize algorithmic pricing models
  • Drive innovation, generate and validate new data, tactics and product ideas that maximize our business impact
  • Be creative - relentlessly identify new ideas and data sources to solve very difficult problems
  • Feature engineering and analytics to identify and demonstrate the opportunities of modeling improvements
  • Drive cross-functional initiatives to set qualitative objectives and quantitative goals
  • Lead the creation of pragmatic, prioritized, actionable roadmaps that effectively distill vision and strategy into efficiently shipped results
  • Utilize your Operations Research and Econometrics skill to build classic optimization models
  • Work on a greenfield Flagship Project with high visibility and cross functionality

Basic Qualifications

  • Masters degree in operations research, econometrics, computer science or a related quantitative field.
  • Strong expertise in developing and deploying large scale machine learning and optimization models in production
  • At least 5 years of industry experience in data science, with significant personal experience as a technical contributor.
  • Experience solving deep technical problems using optimization and statistical approaches.
  • Knowledge of experimental design and analysis
  • Experience with common analysis tools - Python, R, and SQL. Expert with code and programming concepts.

Preferred Qualifications

  • PhD degree in operations research, econometrics, computer science or a related quantitative field
  • Experience working with spatial data, in revenue management, bidding, or in the logistics industry
  • Expertise in convex programming and computational optimization