[Remote] Data Scientist - remote

Note: The job is a remote job and is open to candidates in USA. JSR Tech Consulting is a leading financial services institution looking for a Data Scientist to join their Global Technology team. The role involves designing and developing production-grade AI capabilities to support Advisors in the U.S. Businesses, requiring a blend of AI engineering expertise and business acumen.ResponsibilitiesResponsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements specifiedPerform hands-on context engineering, agent design, model integration, and end-to-end AI system developmentDesign and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problemsWrite production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycleContinuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patternsPartner with machine learning engineers to productionize AI solutionsPartner with data engineers to build data pipelinesPartner with software engineers to integrate solutions with business platformsSkillsAdvanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplinesWorking on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining resultsAbility to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challengesExcellent problem solving, communication and collaboration skillsAbility to design, build, and deliver AI systems end-to-end in a production environment. Deep understanding of the AI lifecycle — from problem framing and data preparation through model development, evaluation, deployment, monitoring, and continuous improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practicesExpertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databases, etc. Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose enterprise tools and APIs to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problemsUnderstanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning modelsAcquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to PythonKnowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etcPreparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stagesProgramming Languages: Python, SQLCompany OverviewJSR Tech Consulting provides contract consulting services for business and technology leaders in financial services. It was founded in 2015, and is headquartered in Cranford, New Jersey, USA, with a workforce of 51-200 employees. Its website is https://www.jsrtechconsulting.com/.