• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 9th Apr 2022

· Demonstrated experience in working professionally with industrial data of manufacturing sites or chemicals manufacturing for 1-2 years.

· PhD (strongly preferred), Master’s degree, or Bachelors’ Degree within either mathematics, statistics, data science, chemical engineering fields

· Solid background in statistical modeling (statistical hypothesis testing, regression, classification, optimization) as well as in Advanced statistics and machine learning (Time Series Analysis, clustering, dimension reduction, anomaly detection)

· Must have hands-on experience building predictive models from scratch without leveraging plug-and-play analytical tools

· Demonstrated experience improving performance of units and systems (for example, areas such as: chemical reactors, boilers, compressors, chillers, cooling towers & steam/condensate systems)

· Demonstrated experience programming for User Interfaces in Plotly Dash Tableau, PowerBI and related Visualizations Platforms

· Demonstrated experience with databases (Oracle, SQL, & Historians)

· DESIRED: Candidate lives on the East Coast

Other preferred skills:

· Experience within the manufacturing industry

· Experience within the Chemicals industry

· MarkLogic, NiFi, AngularJS, NodeJS, web service and visualization tools (e.g., Power BI, Tableau, Spotfire) for data injection and visualization on top of the insights

· Familiar with Cloud DevOps and software engineering methodologies

· 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.