Senior Data Scientist

Há 5 dias

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

We are seeking a highly skilled Data Science Lead to join our team at Hewlett Packard. As a key member of our data science team, you will be responsible for driving innovation and creativity by bringing cutting-edge perspectives on adopting the latest data mining and modeling techniques.

Key Responsibilities:

  • Lead organization-wide teams or teams of other data science professionals in complex projects to mine data using modern tools and programming languages.
  • Define models to uncover patterns and predictions creating business value and innovation.
  • Manage and create relationships with business partners to evaluate and foster data-driven innovation, providing domain-specific expertise in cross-organization projects/initiatives.
  • Tie insights into effective visualizations communicating business value and innovation potential.
  • Work with various stakeholders, including business leaders, engineers, product managers, and data analysts, to identify business problems and develop data-driven solutions.
  • Prepare and present literature, presentations, invention disclosures for peer review & publication in industry data science domain initiatives and conferences.
  • Assure insights are communicated regularly and effectively, reviewing designs, models, and data compliance.
  • Define, communicate, and drive data insights/innovation into the business.
  • Leverage recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.
  • 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 10+ years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.

Preferred Certifications:

Programming Language/s Certification (SQL, Python, or similar)

Knowledge & Skills:

  • Algorithms
  • Amazon Web Services
  • Apache Spark
  • Artificial Intelligence
  • Big Data
  • Computer Science
  • Data Analysis
  • Data Mining
  • Data Science
  • Data Visualization
  • Deep Learning
  • Machine Learning
  • Natural Language Processing
  • Predictive Modeling
  • Python (Programming Language)
  • R (Programming Language)
  • SQL (Programming Language)
  • Statistical Modeling
  • Statistics
  • Tableau (Business Intelligence Software)

Cross-Org Skills:

  • Effective Communication
  • Results Orientation
  • Learning Agility
  • Digital Fluency
  • Customer Centricity

Impact & Scope:

Impacts large functions and leads large, cross-division functional teams or projects.

Complexity:

Provides highly innovative solutions to complex problems within established policy.

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