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Sr. Data Scientist - Customer & Op. Analytics
GATEKEEPER SYSTEMS
- United States
- United States
Über
Job Description
Senior Data Scientist – Customer & Operational Analytics Location:
Gatekeeper Systems Headquarters – Foothill Ranch, California Reports To:
VP, Operations & Service Position Summary Gatekeeper Systems is seeking a highly analytical and business-oriented Senior Data Scientist – Customer & Operational Analytics to help drive the next phase of data-driven decision-making across the organization. Reporting directly to the VP of Operations & Service, this role will focus on transforming customer, operational, monitoring, video classification, subscription, and theft-related data into actionable insights that improve customer outcomes, operational performance, service delivery effectiveness, and business growth. 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. Key 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. Qualifications Required: 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. Preferred: 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. Success Metrics: Improved visibility into customer utilization and operational performance Actionable theft and customer intelligence insights Increased predictive capabilities across operations and customer engagement Improved subscription adoption and customer retention analytics Increased effectiveness and adoption of dashboards and reporting tools Development of scalable analytics and predictive modeling capabilities Why Join Gatekeeper Systems This is an opportunity to play a highly visible role in helping shape the future of analytics, customer intelligence, and operational decision-making at Gatekeeper Systems. The role offers the ability to work directly with senior leadership while building advanced analytics capabilities that support innovation, operational excellence, and long-term business growth.
Sprachkenntnisse
- English
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