Global AI Data Scientist - NLP, CV & Forecasting

Archirodon Group N.V; Town of Greece (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary and benefits

Job summary

Archirodon Group N.V. is seeking an AI Data Scientist responsible for designing, building, and deploying machine learning models to address complex business challenges across EPC projects.

The role involves data preprocessing, feature engineering, collaborating with data engineers and stakeholders, and developing NLP, computer vision, and time-series forecasting solutions while continuously improving model performance and scalability.

Qualifications

• Bachelor’s or Master’s degree in a related field (Data Science, CS, Mathematics, Statistics).
• Experience in data science, ML or AI development with practical application.
• Strong ML algorithms, statistics, and data mining knowledge.
• Experience with NLP, CV, or deep learning is preferred.
• Proficient with SQL and Azure-based data tooling.
• Strong problem solving and data pipeline skills.
• Experience with Power BI to communicate insights.

Responsibilities

• Design, build, and deploy ML/AI models to solve business challenges.
• Perform data preprocessing, feature engineering, and evaluation on large datasets.
• Collaborate with data engineers, software developers, and stakeholders to productionize models.
• Develop and test NLP, computer vision, time-series forecasting, and predictive analytics solutions.
• Continuously evaluate and optimize model performance, accuracy, and scalability.
• Stay current with AI/ML advances and tools.

Skills

Data science experience

ML algorithms

NLP

Computer vision

Deep learning

Communication skills

Data pipelines

Education

Bachelor's degree in Data Science

Master's degree in Data Science

Tools

SQL

Azure

Power BI

Job description

Archirodon Group N.V. is seeking an AI Data Scientist responsible for designing, building, and deploying machine learning models to address complex business challenges across EPC projects.

The role involves data preprocessing, feature engineering, collaborating with data engineers and stakeholders, and developing NLP, computer vision, and time-series forecasting solutions while continuously improving model performance and scalability.