Honeywell Sr ISC Analyst in United States


Mandatory Skills


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

(Clustering techniques)


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

chain domain.


Desired Skills


Excellent in Advanced Excel +

Access+ SharePoint - Role Model level


Proficiency in SQL


Expertise in VB Scripting –



Exposure to Supply chain systems

& processes.



competency in Statistical techniques / Six Sigma tools



Data crunching and presentation/ interpretation skills- Story building +



Education Qualification

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)

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

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