Data Scientist

Data Scientist at Altak Group Inc. Data Scientist at Altak Group Inc. in Rockland, Delaware Posted in 2 days ago.

Type:

full-time

Job Description:

Collaborate with stakeholders to identify business requirements and expected outcomes. 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 algorithms 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 the acceleration of business decisions. 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-principles modeling (kinetics, thermodynamic, and 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, and neural networks. Expertise in Statistics, e.g., time series, regression models, principal component analysis, and multivariate analysis. Strong business acumen with the ability to translate business problems into 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 the 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 architecture and data modeling using relational databases or graph databases.

Development/Analytics Platform:

Posit Connect, Azure Data Lake, Databricks, AspenTech, IP21, TrakSYS Other software tools: NoteJS, web service, and visualization tools (e.g., Power BI) Familiar with Cloud DevOps and software engineering methodology.