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Dassault Systèmes · 1 day ago

Lead Data Science Engineer

New York, United States

Full-time

Hybrid

Senior Level, Lead/Staff

$135K/yr - $180K/yr

7+ years exp

Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. The Lead Data Science Engineer will apply advanced data architecture and engineering skills to develop ETL pipelines and LLM applications, ensuring high data quality and collaboration across teams.

AerospaceAnalyticsAppsArtificial Intelligence (AI)Big DataInformation TechnologyInternetProduct DesignSoftwareVirtual Reality

Culture & Values

H1B Sponsor Likely

Responsibilities

Apply advanced skills in data architecture, data science engineering, data modeling, and data quality using modern cloud-native technologies

Develop ETL pipelines, working with vector databases, automation, and CI/CD using tools such as Python, SQL, and Git

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

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

Qualification

Data ArchitectureData Science EngineeringCloud-native TechnologiesETL PipelinesPythonSQLGit/GitHubSnowflakeDocker/KubernetesAgile CollaborationAnalytical ThinkingStructured Communication

Required

Bachelor's degree in a technical or scientific field, such as Statistics, Data Science, Computer Science, or similar

7+ years of experience in roles such as Data Scientist or Data Engineer with a strong foundation in Enterprise Data Architecture and Engineering

Hands-on experience with tools and concepts such as Airflow, CDC, batch processing, and job scheduling

Hands-on experience data curation, cleansing, and annotation to support model fine-tuning and evaluation workflows

Experienced in building scalable, cloud-native data pipelines using tools and services like Streamlit, Snowflake and containerization platforms like Docker/Kubernetes

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 at integrating AI/ML pipelines into production-grade data infrastructure

Preferred

Experience with clinical trial data is not required, but interest to learn and understand how these data improve medical research is paramount

Benefits

Medical, dental, life and disability insurance

401(k) matching

Flexible paid time off

10 paid holidays per year

Company

Dassault Systèmes

Glassdoor4.1

Dassault Systèmes is a catalyst for human progress.

Founded in 1981

Vélizy-villacoublay, Ile-de-France, FRA

10001+ employees

http://www.3ds.com

H1B Sponsorship

Dassault Systèmes has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2022 (1)

2020 (1)