Honeywell Sr ISC Analyst in United States
Relevant experience of 3-5/(5-7) years in any of the
modeling/machine learning platform (R/SAS/Python)
Experience working with Regression methods (Linear/Logistic
Regression) and time series modeling/Forecasting (ARIMA/ARIMAX/Exponential Smoothing)
Experience manipulating large datasets and using databases and
possess advanced SQL skills.
Familiarity with Machine learning algorithms , both Supervised
methods ( Decision trees/Random Forest/SVM )and Unsupervised learning methods
Experience with unstructured data analysis, Ability to synthesize
data and derive insights using text mining algorithms (Naive
Bayes/K-means/Topic Modeling) would be added advantage.
to modeling software like R, SAS, Python, SQL, SAP HANA, SPSS or similar
Big data tools
working on data visualization software like Tableau
business acumen, with ability to draw clear connections between data
modeling activities and business challenges/opportunities within Supply
Excellent in Advanced Excel +
Access+ SharePoint - Role Model level
Proficiency in SQL
Expertise in VB Scripting –
Exposure to Supply chain systems
competency in Statistical techniques / Six Sigma tools
Data crunching and presentation/ interpretation skills- Story building +
Engineering graduate (BE / B Tech) OR Business graduate (Materials
Management / Operations)
Certifications in Microsoft Technologies , DBA, CBIP or CPIM, CSCP, CPSM, CTL
· MBA is an
added advantage (Not a must)
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