100000 Motorola Solutions, Inc. · Schaumburg, IL

Senior Data Scientist (Hybrid) at 100000 Motorola Solutions, Inc. — Schaumburg, IL

Full-timeSchaumburg, IL$120,000–$140,000/yearPosted 2026-07-20Apply on Workday
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Full job description

Company Overview

Department Overview

At Motorola Solutions, everything starts with our people. The Design and Tools (D&T) team within the CMO organization is dedicated to defining the technology ecosystems that drive efficiency and connectivity. We operate at the intersection of enterprise security and unified tech infrastructure, focusing our ingenuity on solutions that make everyday operations smoother and keep teams integrated.

Job Description

Are you ready to use your technical expertise to expand the reach of advanced computing and help teams perform at their baseline best? We are seeking a Senior Data Scientist to lead and drive the Artificial Intelligence & Analytics stream within our D&T organization. In this people-first culture, you will act as a foundational subject matter expert, developing high-impact analytics that augment operational experiences and translate requirements into robust solutions. Whether you are building within primary enterprise software stacks or deploying custom prescriptive infrastructure, your work will directly help to ensure that our internal and external teams navigate data with greater focus and clarity. We accept a Bachelor's degree or equivalent practical experience for this role, empowering you to explore your curious nature, maximize your professional impact, and pursue your absolute potential.

Key Responsibilities:

AI & Analytics Leadership

  • Lead and direct the strategic Artificial Intelligence & Analytics stream within the D&T ecosystem to maximize team outcomes
  • Serve as the primary technical subject matter expert across the organization to guide internal data strategies
  • Understand complex partner requirements and translate them into augmented experiences that elevate overall user workflows

Predictive Modeling & Custom ML

  • Design, build, and deploy advanced analytical and statistical machine learning models to effectively guide business decisions
  • Construct custom predictive and prescriptive machine learning models tailored for preventative system health checks
  • Architect automated root cause analysis tools and advanced system log analytics to discover critical data insights

Ecosystem Integration

  • Synthesize and enable high-performing automation solutions within the core software technologies driving the CMO organization
  • Embed intelligent data models seamlessly into enterprise platform tools including Salesforce and ServiceNow
  • Collaborate across technical lines to integrate distinct data layers into a single, active operational fabric

Job Requirements:

Technical Expertise

  • Machine Learning & Statistical Modeling to design predictive infrastructure and deploy statistical algorithms
  • Data Mining & Analytics to process large-scale datasets and extract operational insights
  • Salesforce & ServiceNow Development to embed automated logic and workflows within standard corporate tools
  • Python / R Programming to write clean, scalable data science code and maintain custom software modules
  • System Log Analytics to observe system health metrics and interpret log data patterns

Professional Experience

  • Solution Translation to convert real-world stakeholder requirements into production-ready software deployments
  • Project Orchestration to independently manage analytics initiatives from initial data gathering through final model deployment
  • Technical Communications to explain complex technical concepts with complete clarity to both non-technical and executive partners

Preferred Qualifications:

  • Familiarity with building agentic or delegate workflows within cloud enterprise architecture
  • Experience designing cognitive shortcuts or system checks that reduce operational friction for global technical teams

Target Base Salary Range: $120,000- $140,000

#LI-DB1

#LI-Hybrid

Basic Requirements

  • Bachelor's degree in Data Science, Computer Science, or an IT related field
  • 4+ years of experience in data analytics, data mining, or machine learning
  • Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.

Travel Requirements

Under 10% Relocation Provided

None Position Type

Experienced Referral Payment Plan

Yes

Our U.S. Benefits include:

  • Incentive Bonus Plans
  • Medical, Dental, Vision benefits
  • 401K with Company Match
  • 10 Paid Holidays
  • Generous Paid Time Off Packages
  • Employee Stock Purchase Plan
  • Paid Parental & Family Leave
  • and more!

EEO Statement