Senior Data Scientist - Porto Alegre, Brasil - Hewlett Packard

Hewlett Packard

Empresa verificada

Porto Alegre, Brasil

há 2 semanas

Postado por:

Ana Silva

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Descrição

Job Summary

This role is responsible for enabling innovation and creativity by bringing cutting edge perspectives on adopting latest data mining and modelling techniques.

The role understands current complex business problems and future business strategy to assess, build and deploy required data mining and modelling capabilities.

The role is involved in driving standardization, productivity and cross team learning by establishing processes and SOPs for entire data model development lifecycle.

The role drives excellence through continuous improvement in model accuracy and reliability.

Responsibilities

Leads organization wide team or teams of other data science professionals in complex projects to mine data using modern tools and programming languages.
Defines models to uncover patterns and predictions creating business value and innovation.
Manages and creates relationships with business partners to evaluate and foster data driven innovation, provides domainspecific expertise in crossorganization projects/initiatives.
Ties insights into effective visualizations communicating business value and innovation potential.
Works with various stakeholders, including business leaders, engineers, product managers, and data analysts, to identify business problems and develop datadriven solutions.
Prepares and presents literature, presentations, invention disclosures for peer review & publication in industry data science domain initiatives and conferences.
Assures insights are communicated regularly and effectively, reviewing designs, models and data compliance.
Defines, communicates and drives data insights/innovation into the business.
Leverages recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.
Provides guidance, training and mentoring to less experienced staff members.

Education & Experience Recommended**- 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.