{"id":3321654,"url":"https://alion.io/job/motorola-solutions-data-scientist","title":"Data Scientist","company":{"id":1504,"name":"Motorola Solutions","domain":"motorolasolutions.com","url":"https://alion.io/company/motorola-solutions","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":167,"ghost_share":0,"stale_share":0.587,"repost_share":0.024,"time_to_fill_p50_days":38,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Schaumburg, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":90000,"max":95000,"currency":"USD","period":"year","gross":null,"usd_annual":95000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Pandas","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Azure","optional":true},{"name":"Claude","optional":true},{"name":"GCP","optional":true},{"name":"Gemini","optional":true},{"name":"Git","optional":true},{"name":"Kubernetes","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Multimodal AI","optional":true},{"name":"Scala","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-10-26T00:00:00Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-29T02:18:28Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Company Overview\nAt 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.\nDepartment Overview\nAt 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.Job Description\nWe 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.\nThe 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.\nCore Responsibilities\nAI Orchestration: Design and deploy complex AI Agents and RAG pipelines that solve reasoning tasks using frameworks like LangChain or LlamaIndex.\n\nSystem Architecture: Build and optimize semantic search layers using Vector databases (PG Vector) and advanced embedding models.\n\nData Scaling: Engineer high-performance data models and pipelines using Python (Pandas/PySpark) to process large-scale datasets for AI consumption.\n\nPerformance Engineering: Optimize LLM performance through advanced prompt engineering, context window management, and strategic fine-tuning.\n\nProduction Excellence: Champion \"Software Craftsmanship\" by maintaining clean codebases, robust CI/CD workflows, and comprehensive ML Observability.\n\nQualifications\nExperience: Minimum of 4+ years of professional experience as a Data Scientist (post-degree).\n\nEducation: Bachelor’s or Master’s in a quantitative discipline (Computer Science, Statistics, Mathematics, Physics, or a related field).\n\nLegal 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.\n\nPreferred Qualifications\nGenAI & Agentic Development\n2+ years of hands-on experience building and deploying AI-driven applications.\n\nDeep understanding of Transformer architectures (Gemini, GPT, Claude).\n\nProven expertise in building Semantic Search layers and Google Indexing.\n\nData Engineering & Warehousing\nExpertise in Big Data processing at scale (Python/PySpark or Scala).\n\nProfessional-grade experience with Snowflake or Redshift.\n\nMastery of Advanced SQL and dimensional data modeling for low-latency consumption.\n\nSoftware Craftsmanship\nStrong commitment to writing maintainable, production-ready code.\n\nExperience implementing MLOps principles to monitor and scale models in the wild.\n\nPreferred Skills\nExperience with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP).\n\nFamiliarity with version control (Git) and CI/CD for machine learning.\n\nExcellent communication skills with a proven track record of influencing non-technical leadership.\n\nAdvanced Reasoning: Experience experimenting with multi-agent systems for complex, multi-step tasks.\n\nCloud Infrastructure: Hands-on experience scaling AI workloads on AWS (EC2, EKS, Lambda).\n\nGemini Ecosystem: Direct experience leveraging Google Gemini for multimodal or long-context applications.\n\nTarget Base Salary Range: $90,000-$95,000\nConsistent 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.\nBasic Requirements\nBachelor’s or Master’s in a quantitative discipline (Computer Science, Statistics, Mathematics, Physics, or a related field).\n\n4+ years of experience as a Data Scientist\n\nLegal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.\n\nTravel Requirements\nUnder 10%Relocation Provided\nNonePosition Type\nExperiencedReferral Payment Plan\nYesOur U.S. Benefits include:\nIncentive Bonus Plans\n\nMedical, Dental, Vision benefits\n\n401K with Company Match\n\n10 Paid Holidays\n\nGenerous Paid Time Off Packages\n\nEmployee Stock Purchase Plan\n\nPaid Parental & Family Leave\n\nand more!\n\nEEO Statement\nMotorola 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.\nWe 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.\nWe’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. 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