> Markdown version of [/jobs/ext/265673-senior-data-scientist-ml-ai-digital-workplace](https://www.wearedevelopers.com/jobs/ext/265673-senior-data-scientist-ml-ai-digital-workplace). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - ML/AI Digital Workplace... - **Company:** CVS Health - **Location:** United States - **Experience:** Expert - **Salary:** $92,700.0 - $203,940.0 - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Computer Vision, Microsoft Azure, Big Data, BigQuery, Computational Linguistics, Continuous Integration, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Azure Machine Learning, SQL Databases, Google Cloud, Enterprise Software Applications, Pytorch, Large Language Models, Multi-Agent Systems, Prompt Engineering, Apache Spark, Generative AI, AI Platforms, Scikit Learn, Information Technology, HuggingFace, Machine Learning Operations, Software Version Control, Servicenow, Databricks, Microservices - **Published:** May 16, 2026 - **Apply:** https://www.juju.com/job/00000000g04l4x ## About the Role + 5+ years of hands-on experience delivering production-level ML/AI solutions with strong expertise in Generative AI, LLMs, RAG architectures, and prompt engineering. + Advanced proficiency in Python, ML/AI frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain), NLP techniques, SQL, and large-scale data platforms (Databricks, Spark, BigQuery). + Hands-on experience with MLOps practices (model versioning, CI/CD, experiment tracking, monitoring) and cloud platforms (Azure, AWS, GCP) and their AI/ML services. + Strong foundation in statistics, probability, and experimental design with the ability to apply rigorous analytical methods to real-world problems. + Excellent storytelling and communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Preferred Qualifications + Master's degree or Ph.D. in Data Science, Computer Science, Machine Learning, Statistics, Mathematics, Computational Linguistics, or a related quantitative field. + Experience with vector databases (Pinecone, Weaviate, FAISS), AI orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel), and enterprise AI platforms such as Azure OpenAI Service or Azure Machine Learning. + Knowledge of digital workplace technologies (Microsoft 365, ServiceNow, endpoint management) with experience in enterprise telemetry and application usage analytics. + Familiarity with responsible AI principles and explainability techniques (SHAP, LIME), with experience building real-time inference systems and deploying models via APIs and microservices. + Experience with computer vision or multi-modal AI, prior work in healthcare or enterprise IT environments, and relevant cloud AI/ML certifications (Azure AI Engineer, AWS ML Specialty, Google Professional ML Engineer). Education + Bachelor's degree in Data Science, Computer Science, Machine Learning, Statistics, Mathematics, Computational Linguistics, or a related quantitative field. ## Description We are seeking a highly skilled **Senior Data Scientist** to join our **ML Digital Experience & Digital Workplace** team. In this role, you will lead the design, development, and deployment of advanced machine learning models and Generative AI (GenAI) solutions that transform the digital workplace experience. You will work at the intersection of data science, AI innovation, and enterprise technology to deliver intelligent products and capabilities that drive productivity, automation, and enhanced user experiences across the organization. This is an opportunity to shape the future of how employees interact with digital tools and platforms by leveraging cutting-edge ML and GenAI technologies to solve complex business challenges at scale., + **Machine Learning & AI Development:** Design, build, and deploy production-grade ML models with end-to-end pipelines and MLOps best practices to ensure scalability, reproducibility, and continuous improvement. + **Generative AI & LLMs:** Lead the design and deployment of GenAI solutions leveraging LLMs, RAG, prompt engineering, and fine-tuning to build intelligent assistants, conversational agents, and knowledge retrieval tools. + **Data Analysis & Insights:** Analyze large-scale datasets using statistical methods and advanced analytical frameworks to uncover actionable patterns and measure AI/ML impact. + **Digital Workplace & Employee Experience:** Partner cross-functionally to deliver high-impact AI/ML use cases-including predictive analytics, anomaly detection, and workflow automation-across enterprise digital workplace platforms. + **Collaboration, Technical Leadership & AI Governance:** Serve as a subject matter expert in ML and GenAI, mentoring team members, driving actionable business recommendations, and contributing to responsible AI governance frameworks. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [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) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)