Mgr, DataSci & Anlytc
Company Name:-
Pratt & Whitney
Job Location:-
Bengaluru, Karnataka
Job Summary:-
Businesses Pratt & Whitney
Job ID 01442400
Most Recent Date Posted 04/18/2021
City Bangalore
State Karnataka
Country India
Date Posted:
2021-04-07-07:00
Country:
India
Location:
Nethra Tech Park, Old No 181, New plot No 40, EPIP Industrial Area Sy No 28, Kundalahalli Village, Krishnarajapuram, Bangalore, India
Roles & Responsibilities:
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Able to ingest, clean, process and analyze multiple data sources data-at-rest and data-in-motion
Assess the effectiveness and accuracy of data set and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize delivery assurance, inventory reduction and other business outcomes.
Develop testing framework and test model quality.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Interpret and effectively communicate data insights using data visualization
Coordinate with different functional teams to implement models and monitor outcomes.
Qualification / Technnical Experience:
B Bachelors / Masters degree / MBA with experience in operations and supply chain areas
Masters degree, 5+ years data science experience
Good understanding of supply chain concepts
Good analytical skills
Fluent in English with excellent written and verbal communication skills
Working experience of SAP
Experience user of the Microsoft Office (Word, Excel, PowerPoint)
Experience of working under dynamic and uncertain business conditions
Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
Roboics Process Automation (RPA) & Machine Learning knowledge
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience querying databases and using statistical computer languages: R, Python, SLQ, Hive SQL, etc.
Experience in one of the following libraries: TensorFlow, PyCaret.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision tre
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