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Data Scientist / Machine Learning Engineer

ManpowerGroup Global, Inc.

Our client, a leading organization in the technology and software development sector, is seeking a Data Scientist / Machine Learning Engineer -Software Engineer 4 - Contingent to join their dynamic team. As a Data Scientist / Machine Learning Engineer -Software Engineer 4 - Contingent, you will be an integral part of the Software Engineering department supporting innovative projects and strategic initiatives. The ideal candidate will demonstrate strong analytical skills, collaborative spirit, and a proactive approach, which will align successfully within the organization. Job Title: Data Scientist / Machine Learning Engineer -Software Engineer 4 - Contingent Location: Charlotte, NC What's the Job? Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges requiring in-depth evaluation of multiple factors. Contribute to the resolution of complex and multi-faceted situations, ensuring compliance with policies and procedures. Strategically collaborate and consult with client personnel to deliver innovative solutions. Support the development and implementation of advanced data models and machine learning algorithms. What's Needed? 5+ years of Software Engineering experience or equivalent demonstrated through work, training, military experience, or education. Proficiency in data analysis, machine learning, and software development tools. Strong problem-solving skills and the ability to work on complex projects independently. Excellent communication skills to effectively collaborate with diverse teams. Experience with offshore support and hybrid work models is a plus. What's in it for me? Opportunity to work on impactful and innovative projects in a collaborative environment. Engagement with a diverse and inclusive team committed to professional growth. Potential for contract extension or conversion based on performance and project needs. Competitive pay aligned with industry standards. Flexible work arrangements with a hybrid onsite schedule. #J-18808-Ljbffr

Vacancy posted 3 days ago
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