Senior Applied Scientist

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Prior experience with data analysis or understanding, looking at data from a large scale systems to identify patterns or create evaluation datasets.
• Familiarity with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting. Experience in pytorch or tensorflow is a bonus.
• Ability to communicate technical details clearly across organizational boundaries.