Job Description
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
