Senior Data Scientist

Motorola Solutions; Schaumburg (IL); Hybrid; USD 120,000 - 140,000; Full time

Benefits offered by this job

Incentive Bonus Plans

Medical, Dental, Vision benefits

401K with Company Match

10 Paid Holidays

Generous Paid Time Off

Employee Stock Purchase Plan

Paid Parental & Family Leave

Job summary

Motorola Solutions is seeking a Senior Data Scientist to lead the Artificial Intelligence & Analytics initiatives within the Design and Tools (D&T) organization. The role focuses on deploying predictive and prescriptive ML models into enterprise platforms, guiding data strategies, and translating partner requirements into actionable software deployments.

The ideal candidate has 4+ years of data analytics experience, expertise in ML and statistical modeling, and familiarity with Salesforce and

Qualifications

• Bachelor's degree in Data Science, CS, 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; sponsorship not available.

Responsibilities

• Lead and direct the Artificial Intelligence & Analytics stream within D&T.
• Act as the primary technical SME to guide internal data strategies.
• Translate partner requirements into augmented experiences that improve user workflows.
• Design, build, and deploy analytical and statistical ML models for business decisions.
• Create predictive and prescriptive ML models for preventative system health checks.
• Build automated root cause analysis tools and system log analytics.
• Enable automation solutions across core enterprise software technologies.

Skills

Machine Learning

Statistical Modeling

Data Mining

Python

R

Salesforce

ServiceNow

Technical Communications

Cloud Workflows

Education

Bachelor's degree in Data Science/Computer Science/IT

Tools

Salesforce

ServiceNow

Job description

Motorola Solutions is hiring a Senior Data Scientist for the Design and Tools (D&T) organization, focused on leading Artificial Intelligence & Analytics initiatives and deploying predictive/prescriptive ML models into enterprise platforms.

Responsibilities

• Lead and direct the Artificial Intelligence & Analytics stream within the D&T ecosystem to maximize team outcomes
• Act as the primary technical subject matter expert to guide internal data strategies across the organization
• Translate complex partner requirements into augmented experiences that improve end-to-end user workflows
• Design, build, and deploy advanced analytical and statistical machine learning models that support business decisions
• Create custom predictive and prescriptive machine learning models for preventative system health checks
• Build automated root cause analysis tools and system log analytics to surface critical insights
• Enable high-performing automation solutions across core CMO software technologies
• Embed intelligent data models into Salesforce and ServiceNow using platform-integrated logic
• Collaborate across technical lines to integrate distinct data layers into a single active operational fabric

Requirements

• Machine Learning & Statistical Modeling experience designing predictive infrastructure and deploying statistical algorithms
• Data Mining & Analytics experience processing large-scale datasets and extracting operational insights
• Salesforce & ServiceNow development experience embedding automated logic and workflows in standard corporate tools
• Python / R experience writing clean, scalable data science code and maintaining custom software modules
• System Log Analytics experience monitoring system health metrics and interpreting log data patterns
• Solution translation experience converting stakeholder requirements into production-ready software deployments
• Project orchestration experience independently managing analytics efforts from data gathering through final model deployment
• Technical communications experience explaining complex technical concepts clearly to non-technical and executive partners
• 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

Technologies

• Artificial Intelligence & Analytics
• Machine Learning
• Statistical Modeling
• Predictive infrastructure
• Statistical algorithms
• Data Mining & Analytics
• Salesforce
• ServiceNow
• Python
• R
• System Log Analytics
• Machine learning models

Basic Qualifications

• 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 required; employer work permit sponsorship is not available

Compensation & Logistics

• Target base salary range: $120,000 - $140,000 per year
• Location: Schaumburg, IL (hybrid)
• Travel requirements: Under 10%
• Relocation provided: None
• Position type: Experienced

Benefits

• 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