Lead Data Scientist

MOTOROLA INC • Salt Lake City, UT • 1d ago

Company Overview

At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that's critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.

Department OverviewThe 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. 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 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 libraries to perform univariate and bivariate analysis, building advanced machine learning models and data integrations with source systems and systems of record

Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, or... 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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