DATA SCIENCE INTERN - DIGITAL AND TRANSFORMATION OFFICE

Data Science Intern - Digital and Transformation Office Description - Innovation is in HP’s DNA.
From our origins in a Palo Alto garage in , to our current position as one of the world’s leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators, and entrepreneurs around the globe.
HP brings together a portfolio that spans printing, personal computing, software, and services to serve more than 1 billion customers in over 170 countries.
We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels.
We dream in over 35 languages and share one mission.
to engineer experiences that amaze.
Key Responsibilities.
• Perform data exploration and analytics; • Support machine learning/data science projects; • Support data engineering and data science solution development; • Investigation of technology solutions to support research and development; • Technical meetings with project teams; Education and Experience Required.
• Enrolled in University.
• Students in Computer Science / Information Systems / System Analysis Technology / Electrical Engineering / Computer Engineering or related (minimum second graduation year); • Have attended advanced programming, calculus and algebra classes and have good notion of Python programming; • Have notions of ML/DS Python libraries (numpy, pandas, statsmodels, scikit-learn, pytorch) • Interest and curiosity for data science/ML and solution development; Desired Experience.
• Artificial Intelligence, Machine Learning • Data Engineering (database, SQL queries), • Business Intelligence tools / data visualization (MatplotLib, Plotly, PowerBI, Tableau), Experience within SCRUM teams and Agile methodology Advanced English is required Location.
Porto Alegre/RS Job - Software Schedule - Full time Shift - No shift premium (Brasil) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc.
provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
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