Vaga de Senior Data Scientist
1 vaga: | Publicada em 14/03
- A Combinar
Sobre a vaga
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 domain-specific expertise in cross-organization
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 data-driven
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.
Job -
Software
Schedule -
Full time
Shift -
No shift premium (Brazil)
Travel -
Relocation -
EEO Tagline -
HP Inc. is EEO F/M/Protected Veteran/ Individual with Disabilities.