Do you enjoy solving difficult problems? Are you resourceful? Do you enjoy working with data? Can you code? If so, AmTrust is looking to add another talented Data Scientist to their growing Advanced Analytics Team. AmTrust Financial Services Inc. (NASDAQ: AFSI) is a Fortune 500 a multinational property and casualty insurer specializing in coverage for small to mid-sized businesses. We love finding new and innovative ways to use our data and technology to provide a top-notch customer experience and we want your help!
As a Data Scientist, you will unveil insights in our data that will allow us to improve the decision-making process both at an operational and strategic level. You will use the latest machine learning algorithms to develop predictive models to help us assess risks more accurately, handle claims more effectively, and understand and serve our customers more thoroughly.
Qualified applicants would preferably have 2+ years’ experience in the following skill areas:
Python and R
Machine learning algorithms (i.e. GLM, Boosting, Deep Learning, etc...)
Model performance measures and validation techniques (i.e. K-fold cross-validation, train/test split, etc...)
SQL and relational databases (both transactional and analytical environments)
Deploying predictive models into production
Collaborative development and version control systems (i.e. Git)
Unix-like operating systems and comfort in the shell environment (i.e. Bash)
Bonus points for experience in:
Deep learning frameworks like Tensorflow or PyTorch and associated high-level API’s like Keras
numpy, pandas, sklearn, matplotlib
dplyr, data.table, ggplot2
Hadoop-related components and tools (HDFS, Hive, Impala, Sqoop, Solr, etc…)
Strong performance in a Kaggle competition (top 10%)
Significant contributions to an open-source project
We are looking for a strong communicator who is comfortable with immersing themselves deeply within a business process, learning new things, and finding unique and creative ways to help us grow. If you tend to think of yourself as part engineer, part statistician, part computer scientist, part detective, and part project manager then what are you waiting for? Apply today!
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