Senior Data Scientist

5 days ago

Salt Lake, Utah, United States Motorola Full time

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.

We're solving for safer by building the best possible technologies across every part of our safety and security ecosystem.

That's mission-critical communications devices and networks, AI-powered video security and access control and the ability to unite voice, video and data in a single command center view.

We're solving for safer by connecting public safety agencies and enterprises, enabling the collaboration that's critical to connect those in need with those who can help.

The work we do here matters.

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 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.

Many of these AI solutions will be enabled within the core technologies used within CMSO, including Salesforce and ServiceNow.

In other instances, you will also be responsible for building custom predictive and prescriptive ML models for preventative system health checks, system log analytics, automated root cause analysis etc.

Responsibilities
  • 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.

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