Sr. Data Scientist

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 Overview

The Service Design Tools &Infrastructure team is a strategic component of Centralized Managed Support Operations (CMSO), responsible for providing exceptional Service Design & innovative technology solutions to enable and empower MSI Centralized Managed Support Operations to meet and exceed customers’ expectation. In this role, you will fit in the AI & Architecture team within D&T.

Job Description

We are looking for a Senior Data Scientist who will lead and drive the Artificial Intelligence & Analytics stream at D&T (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 spaCy

• Very good knowledge and experience with Databases like Postgres, Redshift, MSSQL

• Knowledge and experience in Cloud Environments (Azure, AWS, GCP) 

• Experience to read data from multiple sources and cleanse, enhance and analyze the data.

• Ability to integrate data, sourcing data from several Sources including databases, files, API and Server logs.
   

Preferred Qualifications

• Minimum of 4+ years experience in data analytics, data mining, machine learning, and has employed predictive, prescriptive, conversational or generative AI to solve business problems

• Minimum of 4+ years experience in hands-on design, coding, development and deployment using data science tools such as Python, Tensorflow etc. to build AI solutions 

• Minimum 2+ years experience leading tea