Honeywell Sr ISC Analyst in United States

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Mandatory Skills

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Relevant experience of 3-5/(5-7) years in any of the

modeling/machine learning platform (R/SAS/Python)

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Experience working with Regression methods (Linear/Logistic

Regression) and time series modeling/Forecasting (ARIMA/ARIMAX/Exponential Smoothing)

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Experience manipulating large datasets and using databases and

possess advanced SQL skills.

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Familiarity with Machine learning algorithms , both Supervised

methods ( Decision trees/Random Forest/SVM )and Unsupervised learning methods

(Clustering techniques)

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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.

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Exposure

to modeling software like R, SAS, Python, SQL, SAP HANA, SPSS or similar

Big data tools

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Experience

working on data visualization software like Tableau

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Strong

business acumen, with ability to draw clear connections between data

modeling activities and business challenges/opportunities within Supply

chain domain.

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Desired Skills

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Excellent in Advanced Excel +

Access+ SharePoint - Role Model level

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Proficiency in SQL

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Expertise in VB Scripting –

Automation

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Exposure to Supply chain systems

& processes.

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Demonstrated

competency in Statistical techniques / Six Sigma tools

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Good

Data crunching and presentation/ interpretation skills- Story building +

delivery

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Education Qualification

Engineering graduate (BE / B Tech) OR Business graduate (Materials

Management / Operations)

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Certifications in Microsoft Technologies , DBA, CBIP or CPIM, CSCP, CPSM, CTL

(Preferred)

· MBA is an

added advantage (Not a must)

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