Hiring: Lead Data Science Engineer Company: Dassault Systèmes Location: New York, United States Job Posted Time: 2026-09-10 12:51:43 Employment Type: Hybrid Target Skills & Keywords : Agile, Airflow, CI/CD, Data Pipeline, Docker, ETL, Fine-tuning, Git, GitHub, GitHub Actions, Infrastructure as Code, Kubernetes, LLM, Python, RAG, SQL, Snowflake, Terraform About the job Experience: •7+ years of experience in roles such as Data Scientist or Data Engineer with a strong foundation in Enterprise Data Architecture and Engineering Required Skills: •Develop ETL pipelines, working with vector databases, automation, and CI/CD using tools such as Python, SQL, and Git. •Established MCP governance standards for agent interactions, including authentication, authorization, audit logging, context management, and compliance controls. •Develop LLM applications using Retrieval-Augmented Generation (RAG) and support fine-tuning for domain-specific tasks. •Analyze and manipulate both structured and unstructured data sources, ensuring high data quality and readiness for downstream consumers. •Built agent-driven metadata management solutions to maintain data catalogs, business glossaries, lineage documentation, and governance policies. •Document and communicate technical work clearly to stakeholders at all levels, both technical and non-technical. •Collaborate effectively in Agile environments and cross-functional teams, building secure, scalable data pipelines into Snowflake from both on-premise and cloud-based sources. Qualifications: •Bachelor's degree in a technical or scientific field, such as Statistics, Data Science, Computer Science, or similar •Applied hands-on capability in tools and concepts such as Airflow, CDC, batch processing, and job scheduling. •Proficient in Git/GitHub, GitHub Actions for CI/CD, and managing infrastructure as code using Terraform •Hands-on experience building high-throughput data pipelines across cloud platforms and MCP server environments. Proficient in implementing RAG architectures, vector databases, and low-latency retrieval layers. •Skilled in integrating AI/ML pipelines into production-grade data infrastructure while establishing MCP governance frameworks, including model access controls, context management policies, auditability, security standards, compliance monitoring, and lifecycle management to ensure secure, scalable, and responsible AI operations. •The salary range range for this position physically based in NYC/ NJ Metro Area is $135,000-$180,000. •Applications will be accepted on an ongoing basis until the position is filled. Compensation: •$135,000 - $180,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!