Sr Data Scientist – Artificial Intelligence & Manufacturing Analytics
Skills
About the role
We are seeking a highly skilled Senior Data Scientist to join our innovative team and drive the development and implementation of advanced analytics and artificial intelligence solutions within a manufacturing environment. This role will leverage data science, machine learning, and AI technologies to optimize processes, improve operational performance, and deliver data-driven solutions that create measurable business impact.
The ideal candidate is a hands-on technical professional with experience developing and deploying AI/ML models, collaborating with cross-functional teams, and transforming complex data into actionable insights. This position offers the opportunity to work at the intersection of artificial intelligence, software development, and manufacturing excellence.
Responsibilities
Design, develop, validate, and deploy Artificial Intelligence and Machine Learning models to optimize processes, improve efficiency, and solve complex operational challenges.
Apply advanced analytics, statistical modeling, data mining, and machine learning techniques to generate business and manufacturing insights.
Develop AI solutions using technologies such as Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).
Support the integration and implementation of AI solutions into manufacturing and operational environments.
Collaborate with engineering, manufacturing, quality, and business teams to identify opportunities where data science can drive improvements.
Develop and maintain technical documentation, protocols, reports, and development records following quality and compliance expectations.
Analyze complex datasets, identify trends, and communicate findings to both technical and non-technical stakeholders.
Participate in continuous improvement initiatives by applying digital technologies and innovative data-driven approaches.
Ensure solutions align with quality systems, documentation practices, and operational compliance requirements.
Manage projects effectively while balancing technical execution, timelines, and business priorities.
Qualifications
Candidates must meet one of the following education and experience combinations:
Doctorate degree in Data Science, Business, Statistics, Data Mining, Applied Mathematics, Business Analytics, Engineering, Computer Science, or a related field OR Master’s degree plus 2+ years of experience in Data Science, Business, Statistics, Data Mining, Applied Mathematics, Business Analytics, Engineering, Computer Science, or a related technical field OR Bachelor’s degree plus 4+ years of experience in Data Science, Business, Statistics, Data Mining, Applied Mathematics, Business Analytics, Engineering, Computer Science, or a related technical field OR Associate degree plus 8+ years of experience in Data Science, Business, Statistics, Data Mining, Applied Mathematics, Business Analytics, Engineering, Computer Science, or a related technical field OR High School diploma/GED plus 10+ years of experience in Data Science, Business, Statistics, Data Mining, Applied Mathematics, Business Analytics, Engineering, Computer Science, or a related technical field.
Bachelor’s or advanced degree in Computer Engineering, Computer Science, or a related discipline preferred.
Specialized coursework or certifications in Artificial Intelligence, Machine Learning, or AI model development.
Experience providing manufacturing support; experience in vial filling or similar pharmaceutical manufacturing processes is highly preferred.
Demonstrated experience deploying or integrating AI/ML solutions into manufacturing or operational environments.
Strong knowledge of Artificial Intelligence, software development, and modern digital technologies.
Hands-on experience developing AI/ML models for process optimization, automation, or task improvement.
Experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, OpenCV, or similar platforms.
Knowledge of Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).
Experience with statistical analysis tools such as JMP or similar statistical software.
Experience creating technical documentation, development records, protocols, and technical reports.
Knowledge of Good Documentation Practices (GDP), quality systems, and regulated industry compliance requirements.
Strong project management, analytical thinking, and problem-solving skills.
Ability to collaborate effectively with multidisciplinary teams and communicate complex technical concepts clearly.
Strong attention to detail with a quality and compliance-focused mindset.
Proficiency using AI tools, digital technologies, and advanced computer applications.
Advanced problem-solving and analytical skills.
Ability to translate business and operational challenges into data-driven solutions.
Strong communication skills with both technical and non-technical audiences.
Self-driven mindset with the ability to manage multiple priorities in a dynamic environment.
Passion for innovation and applying emerging technologies to real-world challenges.
Job Type: Full-time
Pay: $50.00 - $55.00 per hour
Experience:
Artificial Intelligence, Machine Learning: 5 years (Preferred)
AI model development: 5 years (Preferred)
providing manufacturing support: 5 years (Preferred)
vial filling or similar manufacturing processes: 5 years (Preferred)
deploying or integrating AI/ML solutions into manufacturing : 5 years (Preferred)
knowledge of Artificial Intelligence: 5 years (Preferred)
developing AI/ML models for process optimization: 5 years (Preferred)
Python and AI/ML frameworks : 5 years (Preferred)
TensorFlow, PyTorch, OpenCV: 5 years (Preferred)
Machine Learning, Deep Learning, Generative AI: 5 years (Preferred)
statistical analysis tools such as JMP : 5 years (Preferred)
creating technical documentation, development records: 5 years (Preferred)
Good Documentation Practices (GDP), quality systems: 5 years (Preferred)
AI tools, digital technologies: 5 years (Preferred)
Work Location: In person
Compensation
This Data Scientist role pays $50k-$55k/yr. Within typical range for data scientist roles in Italy.
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