MOTOROLA INC
Lead Data Scientist
MOTOROLA INC, Salt Lake City, Utah, United States, 84193
MOTOROLA INC Lead Data Scientist SALT LAKE CITY, Utah
Company Overview:
At Motorola Solutions, we're guided by a shared purpose - helping people be their best in the moments that matter - and we live up to our purpose every day by solving for safer. Because people can only be their best when they not only feel safe, but are safe. We're solving for safer by building the best possible technologies across every part of our safety and security ecosystem.Department Overview:
The Design and Tools (DandT) team is a strategic component of Centralized Managed Support Operations (CMSO), responsible for providing exceptional Service Design and innovative technology solutions to enable and empower MSI Centralized Managed Support Operations to meet and exceed customer's expectations. In this role, you will fit in the AI and Architecture team within DandT.Job Description:
We are looking for a Senior Data Scientist who will lead and drive the Artificial Intelligence and Analytics stream at DandT (Design and Tools). In this role, you will also serve as a subject matter expert in the AI and ML domain, and build analytical and statistical machine learning models that will drive business decisions. You will understand user requirements and translate them into AI solutions that turbocharge internal and external user experiences.Responsibilities include:Manage and direct processes of AI related projects.Drive requirements for AI related projects, work with internal customers and with ServiceNow and Salesforce Product Managers for features planning, prioritization and implementation.Understand and apply various statistical methods for data analysis, EDA, hypothesis testing, and drawing meaningful conclusions.Understand ML concepts and has applied one or more of Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory in real world applications to solve business problems.Guiding models to master the theory and application of supervised, unsupervised, and reinforcement learning algorithms for tasks like classification, regression, and clustering.Training ML models to effectively communicate complex data insights through clear and informative visualizations.Instilling in models an understanding of the ethical implications of data science, including bias detection, fairness, and responsible data handling.Develop application-specific interfaces that leverage GenAI capabilities, LLMs and FMs to enhance the associate and customer experience.Design APIs for performance, real-time applications, scale, ease of use and governance automation.Serves as industry thought leader in data science and applies deep expertise to drive novel customer experiences.Adaptive and the desire to learn new technologies.Technical Experience:
Extensive knowledge in using Python... For full info follow application link.Motorola Solutions is an Equal Opportunity Employer committed to no discrimination because of race, color, creed, marital status, age, religion, sex, national origin, citizenship, sexual orientation, gender identity or expression, genetic information, disability, protected veteran, or any other legally protected characteristic.
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Company Overview:
At Motorola Solutions, we're guided by a shared purpose - helping people be their best in the moments that matter - and we live up to our purpose every day by solving for safer. Because people can only be their best when they not only feel safe, but are safe. We're solving for safer by building the best possible technologies across every part of our safety and security ecosystem.Department Overview:
The Design and Tools (DandT) team is a strategic component of Centralized Managed Support Operations (CMSO), responsible for providing exceptional Service Design and innovative technology solutions to enable and empower MSI Centralized Managed Support Operations to meet and exceed customer's expectations. In this role, you will fit in the AI and Architecture team within DandT.Job Description:
We are looking for a Senior Data Scientist who will lead and drive the Artificial Intelligence and Analytics stream at DandT (Design and Tools). In this role, you will also serve as a subject matter expert in the AI and ML domain, and build analytical and statistical machine learning models that will drive business decisions. You will understand user requirements and translate them into AI solutions that turbocharge internal and external user experiences.Responsibilities include:Manage and direct processes of AI related projects.Drive requirements for AI related projects, work with internal customers and with ServiceNow and Salesforce Product Managers for features planning, prioritization and implementation.Understand and apply various statistical methods for data analysis, EDA, hypothesis testing, and drawing meaningful conclusions.Understand ML concepts and has applied one or more of Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory in real world applications to solve business problems.Guiding models to master the theory and application of supervised, unsupervised, and reinforcement learning algorithms for tasks like classification, regression, and clustering.Training ML models to effectively communicate complex data insights through clear and informative visualizations.Instilling in models an understanding of the ethical implications of data science, including bias detection, fairness, and responsible data handling.Develop application-specific interfaces that leverage GenAI capabilities, LLMs and FMs to enhance the associate and customer experience.Design APIs for performance, real-time applications, scale, ease of use and governance automation.Serves as industry thought leader in data science and applies deep expertise to drive novel customer experiences.Adaptive and the desire to learn new technologies.Technical Experience:
Extensive knowledge in using Python... For full info follow application link.Motorola Solutions is an Equal Opportunity Employer committed to no discrimination because of race, color, creed, marital status, age, religion, sex, national origin, citizenship, sexual orientation, gender identity or expression, genetic information, disability, protected veteran, or any other legally protected characteristic.
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