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.

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Department Overview

At Motorola Solutions, we create technologies our customers refer to as their lifeline. Our technology platforms in communications, software, video, and services help our customers work safely and more efficiently. Whether it’s helping firefighters see through smoke, enabling police officers to see around street corners, or reliably keeping the lights on in homes and businesses worldwide, our work supports those who put their lives on the line to keep us safe. Bring your passion, potential, and talents to Motorola Solutions, and help us usher in a new era in public safety and security.

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Job Description

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.

Core Responsibilities

• AI Orchestration: Design and deploy complex AI Agents and RAG pipelines that solve reasoning tasks using frameworks like LangChain or LlamaIndex.

• System Architecture: Build and optimize semantic search layers using Vector databases (PG Vector) and advanced embedding models.

• Data Scaling: Engineer high-performance data models and pipelines using Python (Pandas/PySpark) to process large-scale datasets for AI consumption.

• Performance Engineering: Optimize LLM performance through advanced prompt engineering, context window management, and strategic fine-tuning.

• Production Excellence: Champion "Software Craftsmanship" by maintaining clean codebases, robust CI/CD workflows, and comprehensive ML Observability.

Qualifications

• Experience: Minimum of 4+ years of professional experience as a Data Scientist (post-degree).

• Education: Bachelor’s or Master’s in a quantitative discipline (Computer Science, Statistics, Mathematics, Physics, or a related field).

• Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship (H-1B, OPT, etc.) is NOT available for this position now or in the future.

Preferred Qualifications

GenAI & Agentic Development

• 2+ years of hands-on experience building and deploying AI-driven applications.

• Deep understanding of Transformer architectures (Gemini, GPT, Claude).

• Proven expertise in building Semantic Search layers and Google Indexing.

Data Engineering & Warehousing

• 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.

Software Craftsmanship

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

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

Preferred Skills

• 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.

• Advanced Reasoning: Experience experimenting with multi-agent systems for complex, multi-step tasks.

• Cloud Infrastructure: Hands-on experience scaling AI workloads on AWS (EC2, EKS, Lambda).

• Gemini Ecosystem: Direct experience leveraging Google Gemini for multimodal or long-context applications.

Target Base Salary Range: $90,000-$95,000

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

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Basic Requirements

• Bachelor’s or Master’s in a quantitative discipline (Computer Science, Statistics, Mathematics, Physics, or a related field).

• 4+ years of experience as a Data Scientist

• Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.

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Travel Requirements

Under 10%

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Relocation Provided

None

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Position Type

Experienced

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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.