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São Paulo, São Paulo, Brasil
Hybrid
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 Data Scientist – Business Analytics & AI to help shape the future of data-driven decision-making within our VS&A business unit. In this role, you will combine advanced analytics, AI technologies, and strong business acumen to translate complex customer, subscription, ERP, CRM, and financial datasets into actionable outcomes. You will work across enterprise platforms to build predictive models, leverage Large Language Models (LLMs), and implement solutions powered by Priority Intelligence™ and Assist to empower sales leaders and business partners.
At Motorola Solutions, everything starts with our people. We foster an inclusive, people-first culture where curious minds are empowered to challenge assumptions, validate source logic, and explore the "why" behind the data. A successful candidate will thrive in navigating ambiguity, connecting technical workflows to operational outcomes, and delivering the Assisted Experience—augmenting human decision-making with intelligent insights. A Bachelor's degree or equivalent practical experience is valued across our team.
Key Responsibilities
Advanced Analytics & AI Innovation
Design and develop advanced analytical solutions and machine learning models that drive sales effectiveness, customer retention, and revenue growth
Evaluate and implement Large Language Model (LLM) workflows and AI tools using Priority Intelligence™ frameworks to augment business decision-making
Analyze customer lifecycle data, subscriptions, entitlements, assets, orders, and usage trends to uncover actionable insights
Enterprise Data Architecture & API Integration
Develop scalable data products and analytical frameworks across enterprise platforms including Salesforce, SAP, NetSuite, and Oracle
Build REST APIs and data integrations that enable automated analytics workflows and seamless data access
Partner with Data Engineering teams to observe ETL pipelines, data lineage, and downstream impacts of transformations
Business Decision Support & Validation
Validate source system data and business logic to help to ensure analytical outputs accurately reflect operational reality
Investigate data anomalies, reconcile system discrepancies, and maintain data trustworthiness across business domains
Communicate technical concepts, financial implications, and predictive insights to technical and non-technical stakeholders
Basic Requirements
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, Finance, Accounting, or a quantitative field
2+ years of experience in Data Science, Advanced Analytics, or Business Intelligence
Job Requirements
Technical Expertise
SQL & Relational Databases to write complex queries, aggregate enterprise datasets, and analyze database structures
Python Development to build analytics pipelines, machine learning models, automation scripts, and REST APIs
REST API Integration to connect external data sources and automate analytical workflows
Predictive & ML Modeling to design statistical models, forecast trends, and analyze customer behaviors
English Communication to articulate technical findings, explain business implications, and collaborate with global stakeholders in written and spoken English
Professional Experience
Cross-System Analytics to analyze, evaluate, and synthesize complex datasets across enterprise ecosystems
Problem Solving to independently investigate ambiguous business challenges from concept through execution
Stakeholder Influence to translate analytical findings into clear business choices for leadership teams
Preferred Qualifications (Optional)
Experience working with Large Language Models (LLMs), Generative AI, Retrieval Augmented Generation (RAG), vector databases, or AI-enabled analytics solutions
Experience working with Salesforce, SAP, NetSuite, Oracle, or similar enterprise platforms
Experience with Tableau or enterprise visualization platforms
Understanding of ETL pipelines, data architecture, and data modeling concepts
Experience supporting sales, finance, revenue operations, customer success, or go-to-market organizations
Understanding of revenue, bookings, subscriptions, renewals, customer hierarchies, and financial reporting
Experience reconciling data across systems to identify root causes of data quality issues
Experience building and deploying production-grade analytical or machine learning solutions
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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.