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hace 7 días

Querétaro, México GSB Solutions A tiempo completo

Required Technical Skill Set Expertise in data & analytics of Manufacturing real time / transformed data, Factory Operational / Supply Chain KPIsExperience Range 8+ yearLocation of Requirement Brazil / Mexico /ArgentinaDesired Competencies (Technical/Behavioral Competency)**Must-Have**- Bachelor’s degree in Engineering, Information Technology, Data Analytics, or a related field.- Expertise in Data Analytics of manufacturing real time data, factory operational / supply chain KPIs, predictive / prescriptive analytics for manufacturing environment.- Programming Skills - knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.- Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. and proficiency in statistics.- Machine Learning - good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests etc.- Strong Math Skills - understanding the fundamentals of Multivariable Calculus and Linear Algebra and algorithm optimization techniques.- Data Wrangling - proficiency in handling imperfections in data.- Experience with Data Visualization Tools like PowerBI, matplotlib, ggplot, d3.js., or Tableau that help to visually encode data- Excellent Communication Skills with technical and non-technical audience- Hands-on experience with data science toolsGood-to-Have- Strong Software Engineering Background- Problem-solving aptitude and analytical mind**Responsibility of / Expectations from the Role**- Data mining or extracting usable data from valuable manufacturing system data sources- Using machine learning tools to select features, create and optimize classifiers- Carrying out the preprocessing of structured and unstructured data- Enhancing data collection procedures to include all relevant information for developing analytic systems- Identifying appropriate methodology / tools for processing, cleansing, and validating the integrity of data to be used for analysis- Analyzing large amounts of information to find patterns and solutions. Reviewing data & analytics work carried out by solution partner / suppliers- Developing prediction systems and machine learning algorithms- Presenting results in a clear manner- Propose solutions and strategies to tackle business challenges- Collaborate with Business and IT teams

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