Vaga de parceiro

Data & Analytics Scientist / Engineer - Mogi Mirim / SP

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Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • 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 audiences.
  • Hands-on experience with data science tools.
  • Good-to-Have: Strong Software Engineering Background.
  • Problem-solving aptitude and analytical mind.
  • Responsibilities / 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 partners/suppliers.
  • Developing prediction systems and machine learning algorithms.
  • Presenting results in a clear manner.
  • Proposing solutions and strategies to tackle business challenges.
  • Collaborating with Business and IT teams.
  • Important: 50% of the time to travel to Argentina, travel to Argentina will be borne by the client.
  • English Advanced mandatory.
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Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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