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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - Predictive Analytics - **Company:** Computerized Security Systems, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Data Analysis, Artificial Neural Networks, Automation of Tests, Microsoft Azure, Software Documentation, Code Review, Continuous Integration, Customer Data Management, Information Engineering, Data Governance, Data Systems, Decision Support Systems, Python (Programming Language), Machine Learning, SAP (Applications), Service Design, Software Construction, Software Engineering, Management of Software Versions, Enterprise Data Management, Deep Learning, Generative AI, Build Management, Microsoft Fabric, Containerization, Data Analytics, Machine Learning Operations, Virtual Agents, Software Version Control, Data Pipelines, Databricks, Microservices - **Published:** September 23, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pm2w13nuff ## About the Role * Master's degree in a quantitative field (PhD preferred) or equivalent practical experience. * 15+ years of experience across data science, data engineering, analytics, and software development. * Proven track record delivering scalable AI/ML, predictive analytics, and data-driven solutions in production environments. * Expertise in machine learning, deep learning, generative AI, and agentic AI. * Strong proficiency in Python, Azure, and enterprise data platforms; experience with SAP and Salesforce data is preferred. * Experience building scalable data pipelines, analytics platforms, and forecasting solutions. * Solid software engineering and MLOps practices, including CI/CD, testing, APIs, microservices, containerization, deployment, and monitoring. * Experience with Microsoft Fabric and Databricks is an advantage. * Professional English proficiency. * Excellent analytical, stakeholder management, communication, and leadership skills, with the ability to translate business challenges into impactful data solutions. ## Description The Senior Data Scientist - Predictive Analytics will apply advanced analytics, data science, and applied AI/ML (spanning classical machine learning, deep learning, and where relevant generative and agentic AI) to generate insights and build production-grade, well-engineered predictive systems that support strategic decision-making across the organization. This role combines deep technical expertise in data science, data engineering, and software engineering with the ability to translate complex business challenges into actionable insights. Working closely with stakeholders across the organization, the Senior Data Scientist helps accelerate dormakaba's transformation into a data- and AI-driven organization. What You Will Do Predictive modeling and advanced analytics development * Design, develop, and validate statistical, machine learning, and (where warranted) deep learning models (forecasting, classification, optimization) to support strategic and operational decision making, applying sound scientific judgment to select the simplest technique that reliably solves the problem (e.g., KNN or tree-based models vs. neural networks) rather than defaulting to complexity. Operationalization and deployment of analytics solutions * Build and deploy predictive models and analytics pipelines into production environments using cloud and enterprise platforms, applying software engineering best practices (version control, automated testing, CI/CD, code review, modular/reusable design) to ensure solutions are maintainable and enterprise-grade. MLOps, monitoring, and model lifecycle management * Implement model lifecycle practices including versioning, monitoring, retraining, and performance tracking. Cross-functional Collaboration And Requirements Translation * Work closely with BI, Finance, Operations, Commercial, and IT stakeholders to translate business problems into analytical and predictive solutions. Data governance, documentation, and compliance * Ensure analytical solutions comply with enterprise data governance, security, and documentation standards. Continuous improvement and analytics maturity advancement * Identify opportunities to automate processes, improve model performance, and elevate predictive analytics capabilities across the organization. Insight communication and decision support * Work with business partners (Operations, Commercial, Finance, etc.) to communicate analytical results, forecasts, and recommendations through dashboards, visualizations, and clear storytelling tailored to non-technical audiences. Data engineering and software engineering excellence * Architect and build scalable, well-tested data pipelines and reusable engineering frameworks - not just one-off models; bring strong software development practices (version control, automated testing, CI/CD, API/service design, containerization) to the data science function and mentor others in this way of working. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)