Senior Data Scientist

A minimum of 5 years of developing and running models in non-academic production systems. Please note that applications without this experience will not be considered. Some of this experience needs to with NLP and deep learning technologies.

Masters or Ph.D. with experience in Machine Learning/Statistics/Data Science

Experience with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Regularization, NLP, NLU, Ensemble Methods and Neural Networks

Strong implementation experience with high-level languages, such as Python, R, Perl, Ruby, Scala or similar scripting languages.

Familiarity with Linux/Unix/Shell environments.

Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data.

Strong written and oral communication skills.

Intense intellectual curiosity – strong desire to always be learning

Analytical, creative, and innovative approach to solving open-ended problems

Highly collaborative, team-player attitude

Experience with product development is a plus

Experience with Financial Services is desired but not required. Much of our data relates to Investment Banking and M&A.