Data Scientist

Motorola Solutions, Inc.
Oak Brook, United States of America
9 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 95K

Job location

Remote
Oak Brook, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Big Data
Cloud Computing
Continuous Integration
Information Engineering
Data Warehousing
Python
Machine Learning
Raw Data
Azure
Search Technologies
Systems Architecture
Sql Optimization
Large Language Models
Snowflake
Multi-Agent Systems
Indexer
GIT
Pandas
PySpark
Information Technology
Production Code
Machine Learning Operations
Virtual Agents
GPT
Software Version Control

Job description

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., 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., Join Our Community of Food People! The Sr Data Scientist executes statistical and mathematical analyses to support business decision-making. This role supports artificial intelli…

  • 19 days ago

Requirements

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., 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.

Benefits & conditions

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 so we can assist you., + $82,600-123,800 per year

About the company

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., © 2026 Careerjet All rights reserved

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