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Senior Data Scientist (Hybrid)

Motorola Solutions · Schaumburg, IL · $120,000–$140,000 a year · Full time

Posted Jul 20, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a time you had to embed a data model or automated logic directly into Salesforce or ServiceNow rather than just handing off a report or notebook.

What they are checking: real hands-on platform development experience versus data science work that stayed siloed from operational tools

You're the primary technical subject matter expert here, and there isn't a big data science team around you. Tell me about a time you had to make a major modeling or architecture decision on your own with no one to check your work.

What they are checking: comfort operating as a lone SME, since this role has no described peer data science team

Tell me about a project where you owned everything from data gathering to final deployment, with no one else managing the timeline for you.

What they are checking: true end-to-end project ownership versus experience where someone else handled deployment or stakeholder management

How have you explained a machine learning model's output or limitations to an executive who has no technical background? What did you leave out and what did you keep in?

What they are checking: ability to calibrate technical communication for non-technical and executive audiences, a named requirement

Tell me about a time a model or automation you built didn't get adopted the way you expected. What did you do?

What they are checking: resilience and reflection when technical work meets organizational resistance, common in cross-team enterprise integration

What would you do

Say a business partner comes to you with a vague request like 'help us understand why our systems keep failing.' How do you turn that into a concrete project plan and model?

What they are checking: ability to translate ambiguous stakeholder language into a scoped technical solution, a named requirement

Two internal teams disagree on how a data layer should be structured for a shared analytics fabric. One wants speed, the other wants long-term maintainability. How do you resolve that?

What they are checking: skill at mediating cross-functional technical disputes, since the role explicitly requires integrating distinct data layers across teams

About the work

Walk me through a predictive or prescriptive machine learning model you built for system health checks or root cause analysis. What was the data source and how did you validate it actually predicted failures before they happened?

What they are checking: whether they've done the specific preventative-maintenance modeling work this role centers on, not just generic predictive modeling

How would you design an automated root cause analysis tool that pulls from system logs across multiple platforms? What would the architecture look like end to end?

What they are checking: depth of thinking on log analytics infrastructure, not just familiarity with the term

Describe your approach to writing production-ready Python or R code versus exploratory notebook code. What changes when you know a model is going to live inside an enterprise tool long term?

What they are checking: whether they understand the gap between analysis code and maintainable software, which the posting explicitly calls out

If you had a large volume of system log data with no clean labels for 'failure' events, how would you approach building a model to flag anomalies before an outage happens?

What they are checking: practical judgment on unsupervised or weakly-labeled anomaly detection, since clean failure labels rarely exist in real log data

Have you built or experimented with agentic or delegate workflows in a cloud enterprise environment? Walk me through one.

What they are checking: whether the preferred qualification around agentic workflows is genuine experience or just buzzword familiarity

Practice this interview out loud.

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The full job description

As published by Motorola Solutions.

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. 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 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! EEO Statement Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team. We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.

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