Argentina Job Openings
GSB Solutions
Data & Analytics Scientist / Engineer
Mercedes
FULL TIME
December 2, 2024
Required Technical Skill Set Expertise in data & analytics of Manufacturing real time / transformed data, Factory Operational / Supply Chain KPIs
Experience Range 8+ year
Location of Requirement Brazil / Mexico /Argentina
Desired Competencies (Technical/Behavioral Competency)
Must-Have
Responsibility of / Expectations from the Role
Experience Range 8+ year
Location of Requirement Brazil / Mexico /Argentina
Desired 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 Power BI, 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 tools
- 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
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Using machine learning tools to select features, create and optimize classifiers
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Carrying out the preprocessing of structured and unstructured data
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Enhancing data collection procedures to include all relevant information for developing analytic systems
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Identifying appropriate methodology / tools for processing, cleansing, and validating the integrity of data to be used for analysis
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Analyzing large amounts of information to find patterns and solutions. Reviewing data & analytics work carried out by solution partner / suppliers
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Developing prediction systems and machine learning algorithms
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Presenting results in a clear manner
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Propose solutions and strategies to tackle business challenges
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Collaborate with Business and IT teams
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