- bachelor's degree in engineering, informationtechnology, data analytics, or a related field.
- expertise in dataanalytics of manufacturing real time data, factory operational /supply chain kpis,predictive / prescriptive analytics formanufacturing environment.
- programming skills – knowledge ofstatistical programming languages like r, python, and databasequery languages like sql, hive, pig is desirable.
familiarity withscala, java, or c++ is an added advantage.
- statistics – goodapplied statistical skills, including knowledge of statisticaltests, distributions, regression, maximum likelihood estimators,etc.
and proficiency in statistics.
- machine learning – goodknowledge of machine learning methods like k-nearest neighbors,naive bayes, svm, decision forests etc.
- strong math skills -understanding the fundamentals of multivariable calculus and linearalgebra and algorithm optimization techniques.
- data wrangling –proficiency in handling imperfections in data.
- experience withdata visualization tools like powerbi, matplotlib, ggplot, d3.js.,or tableau that help to visually encode data - excellentcommunication skills with technical and non-technical audience -hands-on experience with data science tools