Growing a Data Science Team

Our team was created in mid-2016 and we have certainly had our share of growing pains, but we are ecstatic for the current direction we are taking and what the future holds.  We have great support from our senior leadership, which allows us to stay singularly focused on data science and to avoid the many distractions of ad hoc business analytics and “nice-to-knows” of so many data-driven questions.  How we have arrived to this point has not been by chance: we maintain a selective hiring process, have been intentional in what projects we take on, and have a clear vision.

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A Day in the Life of a Machine Learning Engineer Intern

When I stop and think about it, life is a bit crazy at the moment. I’m standing at the threshold between the end of my academic life and the beginning of my professional life. I’ve just graduated from college, moved into a house with some friends who have an impressive recording studio in their basement, and started my first ever internship with The General® as a Machine Learning Engineer (MLE) Intern.

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James Bertrand
Statistical Significance: A Survey of the Literature for the Pragmatic Data Scientist

“‘Objectivity though in practice as unattainable as infinity, is useful in the same way, at least as a fixed point of theoretical reference.  A knowledge of one’s own subjectivity is necessary in order even to contemplate the ‘objective’…Terms such as ‘neutral’, ‘detached’, let alone ‘fair-minded’, ‘disinterested’ or ‘even-handed’ do not all convey the same meaning; they are merely aestheticized forms of the same subjective aspiration.” – Christopher Hitchens, Why Orwell Matters

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Welcome, James!

This summer marks our inaugural internship program and we are fortunate to welcome James Bertrand from Belmont University. James recently completed his undergraduate studies and will focus in the Machine Learning Engineer space.


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Join Our Team!

We’re hiring a Data Scientist to join the Data Science team at The General®. We’re looking for candidates who thrive on continual improvement and have an eagerness to learn. If you enjoy being a part of a collaborative community doing work that makes customers’ lives easier, we invite you to apply!

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Using Concept Frequency-Inverse Concept Document Frequency to Find Conceptual Distinctions in Claim Notes

When working on claims projects at The General®, it’s important to know how claims differ across various dimensions. All claims are different, but there are certain details that cause claims to be handled in a (roughly) uniform way by a specific team. Given the nature of uncertainty in claims, sometimes claims get routed to the wrong team and must be re-routed to the correct destination. One major point of ambiguity that causes claims to be routed incorrectly is that much of the information within a claim file is written as unstructured, unstandardized text.

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Tim Dobbins
Day in the Life: Machine Learning Engineer

At The General®, Machine Learning Engineers work on a variety of different projects ranging from model retraining and monitoring, to API development for model deployment. We also devote much of our time to research and development since most projects do not have a clear best practice and toolset.

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Jack Pitts