job family summary data science incorporates techniques across many disciplines including mathematicsstatistics computer programming data engineering and etl software development and high performance computing with traditional business expertise with the goal of extracting meaning from data to optimize future business decisions individuals in this field should be an expertfluent in several of these disciplines and sufficiently proficient in others to effectively design build and deliver end to end predictive analytics products to optimize future decisions individual demonstrates sufficient analytic agility to quickly develop new skills across these disciplines as those disciplines evolve data discovery decision is responsible for aligning with and contributing to corporate objectives by identifying and developing growth and profitability opportunities that will enable allstate to generate profitable market share growth the data scientist family is accountable for using data to make decisions which includes building predictive models and developing new machine learning techniques that enable allstate to make better decisions to achieve its goals the data scientist family requires analytic agility the ability to quickly learn new modelingmachine learning techniques programming languages and see how these ideas can integrate to optimize the business job description this role is responsible for leading a crossfunctional project team building allstates platform for deep learning on photographic images of homes the data scientist managerdata product lead must coordinate the efforts of data scientists and engineers to build an endtoend system including the pipeline for image and data ingestion suite of deep learning models and integration of outputs into downstream systems the right individual will be fluid with machine learning modeling choices and techniques as well as engineering considerations for building productionready services this role is focused on technical build of data modeling products but the right individual must also be able to fluidly converse with the business users of the predictions delivered by those products this role is a manager of people and a leader of project teams including contributors from many departments key responsibilities direct the build of allstates platform for deep learning on photographic images of homes manage a team of data scientists developing computer vision models guide choices on modeling techniques lead a multidepartment virtual team building a productionready system that meets requirements for performance accuracy and robustness guide the design of data pipelines and services for performance and scalability help to manage vendors and weigh in on build versus buy decisions collaborate with outside business units in order to improve the effectiveness of business decisions through the use of data and machine learningpredictive modeling effectively understand the business problems and requirements to identify the optimal modeling approach communicate findings to ensure models are well understood and incorporated into business processes utilize effective project planning techniques to break down complex projects into tasks manage scope of projects and ensure deadlines are kept work with stakeholders to ensure the project will meet their needs identify and develop data sources to solve business problems review evaluate and make recommendations on appropriateness of techniques to senior leadership influence