Data Scientist

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.

We are seeking a high-caliber Data Scientist to join our team, leveraging large-scale datasets to drive mission-critical business strategy. Unlike traditional analytical roles, this position requires a practitioner who can navigate the entire lifecycle of a data project, from raw data extraction to the deployment of production-grade machine learning models.

The ideal candidate possesses a deep mastery of statistical theory and the engineering rigor required to solve complex, real-world problems for both technical and executive audiences.

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• 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.

• Expertise in Big Data processing at scale (Python/PySpark or Scala).

• Professional-grade experience with Snowflake or Redshift.

• Mastery of Advanced SQL and dimensional data modeling for low-latency consumption.

• Strong commitment to writing maintainable, production-ready code.

• Experience implementing MLOps principles to monitor and scale models in the wild.

• Experience with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP).

• Familiarity with version control (Git) and CI/CD for machine learning.

• Excellent communication skills with a proven track record of influencing non-technical leadership.