Sr. Data Scientist

Motorola Solutions•Schaumburg, IL

10d•$96,928 - $150,000•Hybrid

About The Position

Motorola Solutions is seeking a Data Scientist to develop and implement analytics techniques to transform data into meaningful information supporting business goals. This role will spearhead Next-Gen analytics projects for an AI/ML-driven framework aimed at reducing manual intervention, optimizing resource allocation, and achieving operational cost savings. The Data Scientist will lead modernization initiatives in collaboration with Product Management, Operations, and Executive Leadership, synthesizing technical ML requirements with business goals. They will apply data modeling, machine learning, and natural language processing to extract and analyze information from large structured and unstructured datasets, developing intelligence frameworks aligned with cost-saving targets and product roadmaps. The position involves designing and implementing an end-to-end real-time streaming data pipeline architecture, performing Root Cause Analysis (RCA) using LLMs, and acting as a technical consultant for Customer Experience (CX) matters.

Requirements

Masters degree + 1 years experience.

Responsibilities

Develop and implement analytics techniques to transform data into meaningful information to support business goals.
Spearhead Next-Gen analytics projects in support of a strategic transformation to an intelligent, AI/ML-driven framework designed to reduce manual intervention, optimize resource allocation, and deliver substantial operational cost savings.
Lead modernization initiatives in collaboration with Product Management, Operations, and Executive Leadership.
Synthesize technical ML requirements with high-level business goals and apply data modeling, machine learning, and natural language processing to extract and analyze information from large structured and unstructured datasets to develop technically sound intelligence frameworks aligned with operational cost-saving targets and product roadmaps.
Design and implement an end-to-end real-time streaming data pipeline architecture to integrate Federos with ServiceNow leveraging Debezium for real-time event Change Data Capture (CDC), streaming data changes via AWS Kinesis for high-throughput low-latency data processing, and utilizing DB-SCAN algorithm for AI/ML based multi-dimensional event correlation.
Ensure that the ML output is persistent in AWS S3, which acts as the trigger for a serverless AWS Lambda function responsible for updating ServiceNow via REST APIs with refined clustering and correlation insights.
Act as a technical consultant for all Customer Experience (CX) matters when interacting with the internal MSI team as well as Qualtrics and recommend data-driven solutions to key stakeholders.
Perform Root Cause Analysis (RCA) using LLMs to identify primary failure points within clustered events, and provide Operations Engineers with actionable insights for accelerated debugging and resolution.