Manager, Data Science (ML Focus) - Remote in the US job opportunity at Resultant.

Home Jobs In United States Of America Tag: Data Science (ML Focus) - Remote in the US Manager, Data Science (ML Focus) - Remote in the US position at Resultant


Date2026-02-04T22:13:35.587Z bot
Resultant Manager, Data Science (ML Focus) - Remote in the US
Experience: General
Pattern: Full-time
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Data Science (ML Focus) - Remote in the US

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degreeGeneral
loacation Indianapolis, Indiana, United States Of America
loacation Indianapolis, ..........United States Of America
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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 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 way Partnering with internal and client stakeholders to shape solutions, develop proposals, and contribute to go-to-market initiatives Design, develop and deploy efficient data pipeline for both structured and unstructured data  Productionize machine learning research in both on premises and cloud environments  Rapid prototyping solutions and integrating of new data sources  Drive optimization, testing and tooling to improve quality of solutions  Develop and apply machine learning and advanced analytics algorithms to solve problems you have never seen before   Collaborate with data architects and software developers to plan and construct the architecture of model deployment   Develop and support APIs to serve models and other data solutions Continuously learning and adopting new tools and technologies to stay ahead in a rapidly evolving AI landscape 

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