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Motorola Solutions

Senior Data Scientist (Hybrid)

  • Hybrid
  • 6+ years

Salary

$120,000 - 140,000/ year

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Description

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. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.

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.

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.

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
  • Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.
  • 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!

Where you’d work

Part of the week in the office

You can work from

  • United States

No relocation

No visa sponsorship

About the company

Motorola Solutions

Office in United States

Also hiring in Melbourne, Australia, Edinburgh, United Kingdom, United Kingdom and 23 more places

46 of their 215 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 1 red flag

Still hiring?

14 checks

No red flags

How crowded?

7 checks

1 red flag

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  • Must-haves
Details15 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
Seniority
Senior
Type
Full-time
Equity
Equity offered
Specialty
Data Science
Region
United States
Show 9 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Seniority
Senior
Experience
4+ years
Tech stack
  • Python

Location

Work model
Hybrid
Region
United States
Office
  • United States
Remote from
  • United States
Relocation
Not offered
Visa sponsorship
Not sponsored

Compensation

Salary
$120,000 - 140,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

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