Data Scientist

Role Summary

Data Scientist, MS&T Systems and Engineering based in Devens, MA. Develops data analytics and modeling capabilities to support manufacturing and lab datasets, leveraging advanced analytics, chemometrics, and AI to enable proactive actions and continuous improvement.

Responsibilities

• Develop and enable data and modeling visualization tools in manufacturing.
• Experience developing and implementing SIMCA and other modeling platforms.
• Leverage advanced data analytics, multivariate analysis, first principle concepts, etc. to analyze big manufacturing and lab datasets, draw insights, and recommend proactive actions.
• Develop and maintain data analytics and modeling platforms via cross-functional collaboration.
• Experience with Integration of data systems using SimApi.
• Develop and deploy chemometric models for proactive fault detection, forecasting and control advisor.
• Leverage the latest advances in deep learning, reinforcement learning and AI to design innovative solutions.
• Take initiative, prioritize objectives from multiple projects, and to adhere to scheduled timelines while maintaining flexibility.
• Effectively communicate tech domains to cross-functional teams and all levels of the organization.
• Work independently on deliverables in areas of experience.

Qualifications

• Expected Bachelor with 2+ years of direct work experience in engineering or science (e.g. Process Engineering, Chemical Engineering, or Applied Mathematics/Statistics/Data Science. Multi-discipline is preferred)
• A solid technical knowledge of unit operations associated with biologics and pharma manufacturing processes such as large-scale cell culture, protein purification, blending
• Demonstrated experience in one or more of the following advanced data analytics skills in the biopharma industry Chemometrics, Process Analytics Technology (PAT), Clustering, Classification, Regression, PCA, PLS, Machine Learning, Neural Network, etc.
• Exceptional knowledge and experience in managing model lifecycle; monitoring model performance; design and implementation of systems to re-train and deploy models into production
• Hands-on experience with modeling tools such as SIMCA & SIMCA-online or Matlab or Python
• Extensive experience in data systems such as OSI PI, Discoverant, LIMS, Datalake
• Working knowledge of Automation tools such as DeltaV, Syncade MES
• Experience with manufacturing process time series data, images, and spectra data
• Understanding of PFD or P&ID
• Excellent interpersonal, collaborative, team building, and communication skills to ensure effective collaborations within matrix teams
• Exceptional experience managing multiple priorities and working in a fast-paced environment with cross-functional teams
• Demonstrated problem solving ability, attention to detail, and analytical thinking
• Exceptional communication skills Oral/Written

Education

• Not specified beyond Bachelor degree requirement in the qualifications.