Senior Data Scientist

Motorola Solutions

Hybrid

Quick summary

Work type
Hybrid
Location
Schaumburg, IL
Salary
$96,928–$150,000 / yr
Posted
5 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $160k
This role $123k
$83k most similar roles pay here $223k

This role pays less than 92% of similar roles. Most pay $126,800–$193,031 — the shaded band above. At the midpoint, this role pays about $123k versus about $160k for comparable roles.

Based on 240 similar postings.

Employer

About Motorola Solutions

Motorola Solutions, Inc. (NYSE: MSI) is a leading American technology company providing mission-critical communications, video security, and analytics for public safety and enterprise customers.

Motorola Solutions currently has 121 open roles on FindRole.

Listed pay typically runs $115,000–$150,000 across 104 roles with salary data.

Most-posted roles

View all roles at Motorola Solutions

At a glance

TL;DR · Senior Data Scientist

As a Senior Data Scientist at Motorola Solutions, you will join the Next-Gen Analytics team to drive strategic transformation through AI/ML initiatives. Your role involves developing advanced analytics techniques to reduce manual intervention and optimize resource allocation, aligning technical ML requirements with high-level business goals. You will design an end-to-end real-time streaming data pipeline using AWS Kinesis, Debezium CDC, and DB-SCAN clustering for multi-dimensional event correlation, ensuring seamless integration with ServiceNow via REST APIs. Additionally, you will consult on Customer Experience matters, perform Root Cause Analysis using LLMs to provide actionable insights, and collaborate closely with Product Management, Operations, and Executive Leadership. Proficiency in Python, machine learning frameworks like TensorFlow or PyTorch, and experience with AWS services are essential for this role.

What you'll do

  • Develop analytics techniques to transform data into actionable information for business goals.
  • Spearhead Next-Gen analytics projects to reduce manual intervention and optimize resource allocation.
  • Synthesize technical ML requirements with high-level business goals to develop intelligence frameworks.
  • Design real-time streaming data pipeline architecture integrating Federos with ServiceNow using AWS Kinesis.
  • Act as a technical consultant for Customer Experience matters, recommending data-driven solutions.
  • Perform Root Cause Analysis using LLMs to provide actionable insights for debugging and resolution.

What we're looking for

  • Develop and implement advanced analytics techniques to transform data into actionable insights.
  • Lead Next-Gen analytics projects using AI/ML to optimize resource allocation and reduce costs.
  • Design real-time streaming data pipelines integrating Federos with ServiceNow for high-throughput processing.
  • Synthesize technical ML requirements with business goals, extracting information from large datasets.
  • Act as a technical consultant for CX matters, recommending data-driven solutions to stakeholders.
  • Perform Root Cause Analysis using LLMs to provide actionable insights for debugging and resolution.

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