Data Scientist

Role Summary

Data Scientist, MS&T Systems and Engineering — Devens, MA, US

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; exceptional experience with 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 is required.
• 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, evolving environment with cross-functional teams.
• Demonstrated problem solving ability, attention to details, and analytical thinking.
• Exceptional oral and written communication skills.

Skills

• Data analytics
• Modeling and visualization tools
• Chemometrics
• Machine learning and AI
• Programming: Python, Matlab
• Data systems and automation tools

Education

• Bachelor degree or equivalent in engineering, science, or related field; 2+ years of direct work experience