Senior Data Scientist / ML Analytics / BI & Reporting / SQL / Python / Irvine CA

$130000 - $160000 Our client is a global leader in the iOT space for retail loss prevention, operations management, and analytics, with our headquarters based in South OC, California. They maintain a strong presence across the globe, with offices in the UK, Australia, China, Hong Kong, Germany, France, and Canada They are urgently seeking a Sr. level Data Scientist & Analytics / ML Engineer with strong SQL, Python, Business Intelligence, Reporting Dashboars and Predictive Models. This individual will play a key role in advancing the company's analytics capabilities beyond traditional business intelligence by developing predictive models, operational analytics, customer intelligence frameworks, and scalable reporting solutions that support proactive decision-making and measurable business impact. The ideal candidate combines strong technical and analytical expertise with the ability to understand business operations, communicate insights effectively, and partner cross-functionally to solve complex operational and customer challenges. **Role & Responsibilities** **Customer & Operational Analytics:** + Analyze customer, operational, monitoring, video classification, and theft-related data to identify trends, risks, opportunities, and actionable insights. + Develop analytical frameworks to measure customer utilization, operational effectiveness, subscription adoption, and customer value realization. + Support proactive customer engagement strategies through data-driven insights and trend analysis. + Partner with leadership teams to improve visibility into operational and customer performance metrics. **Predictive Modeling & Data Science:** + Design, build, and maintain predictive models related to theft trends, customer behavior, operational risks, service utilization, and escalation indicators. + Develop forecasting and trend analysis models that support operational planning and customer success initiatives. + Apply statistical analysis, machine learning, and advanced analytics techniques where appropriate to improve business outcomes. + Continuously evaluate and refine model performance and business relevance. **Business Intelligence & Visualization:** + Develop dashboards, KPI reporting, and analytics tools using Power BI, Tableau, or similar platforms. + Create executive-level reporting and operational scorecards that support strategic decision-making. + Automate reporting and improve scalability of analytics and data visualization capabilities. + Translate complex analytical findings into clear, business-oriented recommendations. **Cross-Functional Collaboration:** + Partner closely with Operations, Customer Success, Sales, Product Management, IT, Engineering, and Finance teams to identify business opportunities and analytics priorities. + Support initiatives involving AI-driven analytics, workflow automation, and operational optimization. + Collaborate with technical teams to improve data quality, accessibility, integration, and governance across systems and platforms. **Must Have Skills:** + Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, or related field. + 4-8 years of experience in data science, predictive analytics, customer analytics, operational analytics, or related analytical roles. + Strong experience developing predictive models and performing advanced data analysis in business environments. + Advanced proficiency in SQL and experience with Python or similar analytics/programming languages. + Experience with Power BI, Tableau, or similar business intelligence and visualization tools. + Experience working with large, complex operational and customer datasets. + Strong analytical, problem-solving, and critical-thinking capabilities. + Excellent communication and presentation skills with the ability to explain technical concepts to business stakeholders. + Ability to operate independently and manage multiple priorities in a fast-paced environment. + **Education And/Or Experience** : BSEE, MSEE, BSCS, or MSCS **Nice to have / Preferred Skills:** + Experience in SaaS, retail technology, video analytics, loss prevention, IoT, subscription-based services, or service-oriented organizations. + Familiarity with machine learning, AI-driven analytics, and operational optimization techniques. + Experience with cloud-based data platforms such as Azure, AWS, or Google Cloud. + Experience supporting executive-level operational reporting and KPI development. **The Offer** + Attractive total compensation package between 130-160k + Comprehensive healthcare benefits including medical, dental, and vision coverage; Life/ADD/LTD insurance; FSA/HSA options + 401(k) Plan with employer match + Generous paid time off policy + Observance of 11 paid company holidays