Data Scientist - Manufacturing Domain Onsite

Hiring! Data Scientist with a strong Manufacturing background for our direct client located in Wilmington, Delaware. This is an onsite job requirement. Seeking Candidates that will work on a W2 basis for 12 month + contract. Collaborate with stakeholders to identify the business requirements and the expected outcome; Identify and select relevant and credible data sources, and provide technical instructions to data analysts to collect, integrate and mine data; Identify and analyze patterns. Design experiments, test hypotheses, and build models; Conducts advanced data analysis and complex algorithm to help stakeholders to discover and quantify leading information. Resolve stakeholders problems through analytics and communicate results and methodologies through an iterative collaboration process. Partner with stakeholders to ensure the expected qualification and assurance of the information. Design and lead implementation of analytics pipelines and visualization by collaborating with other data/informatics teams. Scout, test and recommend new analytics algorithms and models to the data analytics. Educate the organization on new analytical approaches to drive acceleration of business decision. Collaborate with other data scientists to develop the strategy of the data analytics competency and prioritize development needs. Skill Requirements Advanced degree in chemical engineering and/or chemistry & materials science. More than 2 years of data analytics experience in manufacturing, operation, and chemical/mechanical processing data. Expertise in first principal modeling (kinetics, thermodynamic, physical models) Expertise in data analytics software and tools: Python, R, Spark, Json. Expertise in Machine Learning and Deep Learning, e.g. classification, regression, clustering, feature engineering, neural network. Expertise in Statistics, e.g. time series, regression models, principal component analysis, multi-variance analysis. Strong business acumen with the ability to translate business problems to data analytics requirements and design data models and analytics pipelines to resolve the problems. Excellent communication and customer-facing skills with the ability to explain technical approaches and rationale of findings in easy-to-understand terms for the business. Experience using deep learning and machine learning on manufacturing processing and/or IoT event detection will be preferred. Expertise in

Text Data Analysis:

semantic analysis, natural language processing, taxonomy. Proficiency in data architect and data modeling using relational databases or graph databases.

Development/Analytics Platform:

Posit Connect, Azure DataLake, Databricks, AspenTech, IP21, TrakSYS Other software tools: NoteJS, web service and visualization tools (e.g., PowerBI) Familiar with Cloud DevOps and software engineering methodology. Select Apply Now and a Vega Staffing Specialist will reach out to you.