Data Analyst

Há 5 dias


Porto Alegre, Rio Grande do Sul, Brasil Hp Tempo inteiro
Job Summary

As a Data Scientist at Hp, you will be responsible for analyzing and interpreting complex data sets to identify trends, patterns, and insights that can be used to inform business decisions and drive organizational performance. You will bring a cutting-edge perspective on programming techniques for data exploration, mining, preparation, cleansing, manipulation, modeling, and validation.

Key Responsibilities
  • Lead data mining efforts using modern tools and programming languages.
  • Develop monitoring metrics to reflect real-world model performance and make recommendations to shape the future direction of models and digital solutions.
  • Deliver predictive and prescriptive models of high complexity to surface insights, drive action, and track performance.
  • Strategize models to uncover patterns and predictions creating business value and innovation.
  • Manage relationships with business partners to evaluate and foster data-driven innovation, provide domain-specific expertise in cross-organization projects/initiatives.
  • Tie insights into effective visualizations communicating business value and innovation potential.
  • Work with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution.
  • Lead project teams of data science professionals, ensuring insights are communicated regularly and effectively, reviewing designs, models, and data compliance.
  • Represent the data science team for all phases of larger and more-complex development projects.
  • Provide guidance, training, and mentoring to less experienced staff members.
Requirements
  • Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
  • Typically has 7-10 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.
Knowledge and Skills
  • Databricks
  • GITHUB
  • Basic understanding of Kubernetes, Dockers
  • Amazon Web Services
  • Computer Science
  • Data Analysis
  • Data Mining
  • Data Science
  • Python (Programming Language)
  • SQL (Programming Language)

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