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Company DescriptionWe are a passionate team of 300+ engineers, mathematicians, data analysts, project managers, and business consultants. But more importantly, we are active listeners, deep thinkers, and courageous problem solvers. The Resultant team purposefully comes together to produce a positive outcome. Our name symbolizes our commitment to empathy and collaboration—of not just delivering our clients with the best solutions, but to deeply listening to them, understanding their needs, and learning from each other in the process. The force of Resultant comes from the combined knowledge, passion, and innovation of our team and partners. Together, we partner with clients in the public and private sectors to help them overcome their most complex challenges, empowering our clients to drive meaningful change in their organizations and communities. In everything you do, you’ll help your clients, colleagues, and communities thrive. Resultant was founded as KSM Consulting in 2008.Job DescriptionAt Resultant, we are fearless problem solvers. We are passionate about helping our clients solve their toughest problems, while empathizing with people our solutions will help. Data analytics is a core component of how we do this. We are looking for a Senior Data Scientist / Machine Learning Engineer (DS/MLE) to add to our talented team of Data Scientists, Data Engineers, and Data Architects to solve some of the most exciting and challenging problems faced by companies and governments in today’s fast-paced environment. As a Senior DS/MLE, you will have the opportunity to develop novel machine learning and AI solutions and deploy them to production applications and systems.Here is what a typical day for you might look like:Engaging directly with current and prospective clients to understand business needs, translate them into technical requirements, and communicate findings in a clear, actionable wayPartnering with internal and client stakeholders to shape solutions, develop proposals, and contribute to go-to-market initiativesDesign, develop and deploy efficient data pipeline for both structured and unstructured dataProductionize machine learning research in both on premises and cloud environmentsRapid prototyping solutions and integrating of new data sourcesDrive optimization, testing and tooling to improve quality of solutionsDevelop and apply machine learning and advanced analytics algorithms to solve problems you have never seen beforeCollaborate with data architects and software developers to plan and construct the architecture of model deploymentDevelop and support APIs to serve models and other data solutionsContinuously learning and adopting new tools and technologies to stay ahead in a rapidly evolving AI landscape
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