founded by the allstate corporation in 2016 arity is a data and analytics company focused on improving transportation we collect and analyze enormous amounts of data using predictive analytics to build solutions with a single goal in mind to make transportation smarter safer and more useful for everyone at the heart of that mission are the people that work herethe dreamers doers and differencemakers that call this place home as part of that team your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation thats because at arity we believe work and life shouldnt be at odds with one another after all we know that your unique qualities give you a unique perspective we dont just want you to see yourself here we want you to be yourself here the team arity data science amp analytics combines technical knowledge in fields such as mathematics computer programming and data engineering with business expertise were passionate about learning new disciplines and techniques to deliver topnotch predictive analytics products armed with billions of miles of driving data we constantly challenge ourselves to seek out opportunities for new products and ways to make our existing offerings better our purpose is to extract meaning from data to make aritys vision of safer smarter and more useful transportation a reality the role this role will be part of the insurance solutions product area working to develop telematicsbased insights to aid in the claims handling process and potentially for other insurance usecases for telematics beyond pricing and claims all data scientists across product teams at arity are responsible for leading the use of data to make decisions including the development and management of new machine learning predictive models the coding and development of tools that use machine learningpredictive modeling to make business decisions searching for and integrating new data both internal and external that improves our modeling and machine learning results and ultimately our decisions discovery of solutions to business problems that can be solved through the use of machine learningpredictive modeling as an ideal candidate you appreciate the difference between fitting and implementing statistical models the importance of good metrics and the significance of largevolume highquality data you can perceive common structure between superficially unrelated problems and can use this to build tools algorithms and products of high value this role will also begin to manage projects of medium complexity responsibilities uses best practices to develop statistical machine learning techniques to build models that address business needs manages data and data requests to improve the accuracy of our data and decisions made from data analysis uses and learns a wide variety of tools and languages to achieve results eg r sas python hadoop identifies languages and tools that can bring efficiencies or needed techniques to the team works on data and business problems to drive improved business results through designing building and partnering to implement models collaborates with the team to improve the effectiveness