Data Scientist/Machine Learning Engineer - Hybrid Role

At Dassault Systèmes, we believe in empowering individuals with a passion to change the world. Together, let's pioneer new horizons by harnessing the transformative power of 3DEXPERIENCE virtual universes!

About ENOVIA:

ENOVIA helps you deliver transformative innovations. ENOVIA, powered by the cutting-edge 3DEXPERIENCE platform, offers a diverse portfolio of technical and business applications tailored for all users across enterprises. With ENOVIA, teams collaborate and innovate together to build and execute a successful plan -- one that is flexible, allowing continuous optimization, real-time progress tracking, and compliance with industry standards and regulations.

Are you passionate about delivering Data Science based applications?

ENOVIA has an immediate opening in Boston (Waltham, MA) for a highly skilled developer with a strong background in Data Science and web applications development.

Roles & Responsibilities:

• Build business insights using data visualization & machine learning in applications that are used by Fortune 500 companies

• Analyzing large datasets, building data pipelines, building ontology, creating insightful visualization

• Developing and optimizing machine learning algorithms, deploying models into production environments, integrating models into existing systems

• Build and validate scalable Cloud solutions end to end (UX, Webservice APIs, ETL)

• Promote and enable the adoption of technical advances in Data Science

• Drive projects to completion independently

• Work with cross-functional teams to generate Data Science-based solutions that meet the company's emerging standards

Qualifications & Experience:

• Master's Degree in Engineering, Mathematics, or Computer Science- with a focus on Process Mining, Machine Learning, Data Science, and Artificial Intelligence

• Must have: 4+ years of Machine Learning / MLOps work experience

• Proficient with data platform architecture, design, data dictionaries, multi-dimensional models, and structures for data science

• Must have hands-on experience with Python for Data Science, including libraries like pandas, numpy, scikit-learn

• Experience with Tableau or other data visualization platforms

• Familiarity with data platform architecture, data lake, ETL development, data dictionaries, metadata management and data quality

• Preferred full-stack developer with familiarity with Java, Flask and JavaScript

• Exposure to Prompt Engineering, Large Language Models (LLM) & fine-tuning

• Independent self-starter with time management and prioritization skills in a dynamic environment

• Strong team player with the ability to successfully collaborate remotely with geographically distributed teams