Data Scientist

Motorola Solutions

Hybrid

Quick summary

Work type: Hybrid
Location: Chicago, IL
Salary: $117,957–$131,800 / yr
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $156k

This role $125k

$87k most similar roles pay here $213k

This role pays less than 89% of similar roles. Most pay $126,800–$185,650 — the shaded band above. At the midpoint, this role pays about $125k versus about $156k 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 118 open roles on FindRole.

Listed pay typically runs $117,957–$150,000 across 101 roles with salary data.

Most-posted roles

View all roles at Motorola Solutions

At a glance

TL;DR · Data Scientist

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As a senior software engineer at Motorola Solutions, you will join the AI and automation team to develop cutting-edge solutions that enhance organizational efficiency. Your daily tasks include architecting scalable AI systems on AWS, implementing generative AI for process optimization, and deploying CI/CD pipelines to ensure seamless model deployment. You will also build Apache Airflow ETL pipelines and NLP scoring systems to improve customer satisfaction analytics, while leveraging advanced clustering algorithms to reduce operational incidents. The role requires expertise in Python, AWS services, and machine learning frameworks such as TensorFlow or PyTorch, along with a strong background in CI/CD practices and data engineering. This position offers the opportunity to work on large-scale projects that address critical business challenges within a dynamic tech environment.

Skills

AWS Apache Airflow CI/CD Python NLP ETL Generative AI LLM Docker Prometheus Grafana PostgreSQL Kubernetes Terraform

What you'll do

Develop solutions to optimize organizational processes for performance, capacity, and scalability.
Implement Generative AI on AWS cloud for technological advancement and potential organization-wide scaling.
Automate log analysis and root cause investigation using AI and LLM technologies.
Lead CI/CD initiatives for scalable model deployment across the company.
Construct Apache Airflow ETL pipelines and NLP scoring systems to enhance customer satisfaction analytics.
Deploy advanced clustering algorithms on high-velocity data streams to reduce operational incidents.

What we're looking for

Develop and architect scalable solutions to improve organizational processes.
Implement Generative AI solutions on AWS for potential organization-wide scaling.
Automate log analysis and root cause investigation using AI/LLM technologies.
Lead CI/CD initiatives for efficient model deployment practices.
Construct Apache Airflow ETL pipelines and NLP scoring systems.
Deploy clustering algorithms to reduce operational incidents in support operations.
Possess a Master's degree plus 2 years or Bachelor's degree plus 3 years of relevant experience.

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