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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** The Sei - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Business Software, Cloud Computing, Information Engineering, Data Transformation, Data Visualization, Python (Programming Language), Machine Learning, Natural Language Processing, Power BI, Software Tools, Tensorflow, Azure Machine Learning, SQL Databases, Systems Integration, Tableau (Software), Google Cloud, Pytorch, Large Language Models, Prompt Engineering, Apache Spark, Generative AI, Pandas, Matplotlib, Containerization, Scikit Learn, Kubernetes, Apache Kafka, Machine Learning Operations, Data Pipelines, Serverless Computing, Software Library, Docker - **Published:** September 10, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pj29occucj ## About the Role * Bachelor's degree from an accredited college or university, and/or equivalent relevant experience. MS, MBA or CFA designation is a plus. * A minimum of 5 years of experience in data science, machine learning, or a related field. Wealth management industry related experience is a plus. * Strong understanding of AI technologies, including machine learning, natural language processing, and Generative AI. * Experience with MLOps platforms (MLflow, Kubeflow, Vertex AI, Azure ML), containerization (Docker), and orchestration (Kubernetes). * Hands-on experience with Generative AI, LLMs, and prompt engineering. * Familiarity with modern data engineering tools (Airflow, Spark, Kafka, dbt). * Knowledge of data privacy regulations and responsible AI practices. * Proficiency in programming languages such as Python or R, and experience with machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn) * Strong experience with data manipulation tools (e.g., SQL, pandas). * Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib). * Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps best practices. * Detail oriented with the ability to organize and prioritize tasks to ensure timely delivery of the projects What We Would Like From You * Proven decision-making and problem-solving skills. * Exceptional oral and written communication skills, including understanding of technical writing requirements * Ability to work comfortably with a wide range of people and skill sets, including data scientists, architects, project managers, analysts, designers and developers. * Experience interfacing with management and vendors. * Understand overall vision and how Product fits with that vision. * Excellent analytical, problem-solving, and decision-making skills. Ability to translate complex business requirements into actionable product features * Certifications in cloud ML, data engineering, or AI. * Someone who will embody our SEI Values of courage, integrity, collaboration, inclusion, connection and fun. Please see our website for more information. https://www.seic.com ## Description SEI is seeking a highly skilled and experienced Senior Data Scientist to join our enterprise Artificial Intelligence team. In this role, you will lead data-driven initiatives, develop advanced models, and deliver actionable insights that directly impact our business strategy. You will work closely with cross-functional teams, mentoring junior data scientists and contributing to the overall Artificial Intelligence vision at SEI. What You Will Do * Lead the end-to-end product development lifecycle, from ideation to launch, ensuring the successful delivery of AI products. * Design, deploy, and monitor machine learning models in production using MLOps tools and cloud-native services. * Develop and fine-tune Generative AI models and LLMs, integrating them into business applications. * Clean, preprocess, and analyze large datasets to extract meaningful patterns, trends, and insights. * Conduct thorough exploratory data analysis to discover hidden insights and potential opportunities. * Build and maintain data pipelines for efficient data collection, storage, and processing. * Develop and implement machine learning algorithms and models for predictive and prescriptive analytics. * Communicate complex findings to both technical and non-technical stakeholders through visualizations, reports, and presentations. * Stay up-to-date with the latest advancements in artificial intelligence, machine learning, and relevant technologies. * Build scalable, automated data pipelines for batch and real-time analytics using tools like Airflow, Spark, or dbt. * Ensure compliance with data privacy and security standards in all AI solutions. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [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) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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 Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)