[Remote] Data Scientist - remote
Note: The job is a remote job and is reputed company to candidates in USA. reputed company 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 reputed company of AI engineering expertise and business acumen.
Responsibilities
- Responsible for the hands-on design and development of production-grade GenAI and reputed company solutions comprising the portfolio developed by the Data Science reputed company and the technical requirements specified
- reputed company hands-on context engineering, agent design, model integration, and end-to-end AI system development
- Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; reputed company and reputed company Model Context Protocol (MCP) servers to expose tools, data sources, and reputed company reputed company to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve reputed company, multi-reputed company business problems
- Write production-level reputed company and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle
- Continuously research new reputed company for problem solution, including new algorithms, reputed company frameworks, context management techniques, and AI application patterns
- Partner with machine learning engineers to productionize AI solutions
- Partner with data engineers to build data pipelines
- Partner with software engineers to reputed company solutions with business platforms
Skills
- Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines
- Working on reputed company problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment reputed company broadly defined practices and policies in selecting reputed company, techniques and evaluation reputed company for obtaining results
- Ability to learn new skills and knowledge on an ongoing reputed company through self-initiative and seeking challenges
- Excellent problem solving, communication and collaboration skills
- Ability 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 reputed company improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practices
- Expertise in modern reputed company and NLP technologies including LLMs, RAG, reputed company, LangGraph, reputed company databases, etc. Skilled in context engineering — reputed company engineering, dynamic context construction, context window management, and reputed company reputed company design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose reputed company tools and reputed company to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve reputed company, multi-reputed company business problems
- Understanding 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 models
- Acquiring data from disparate data sources using API's and SQL. reputed company data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python
- Knowledge of how databases are reputed company and function in order to use them reputed company. May include multiple data environments, reputed company/AWS, primary and foreign key relationships, table design, database schemas, etc
- Preparing data for reputed company analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (reputed company, reputed company)
- Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages
- Programming Languages: Python, SQL
reputed company