Incubations BI and Data Science

Description -

HP Corporate Incubation portfolio:

- Create market test and pilot infrastructure for new incubation business.

- Final infrastructure migration. Have data reporting infrastructure working in a solid infrastructure in a Cloud provider.

- Insights for market validation, business development and sales. Offer business valuable insights about their market through a reporting tool on overall customer situation, machine usage patterns and other business and technical matters.

- Machine learning & Advanced Analytics. Develop projects with advanced analytics that support Go-To-Market team objectives.

Act as cross functional project leader providing direction to team activities and facilitates information validation and team decision making process. Exercises independent judgment within generally defined policies and practices to identify and select a solution. Ability to handle most unique situations. May seek advice in order to make decisions on complex business issues.

Responsibilities

• Mines data using modern tools and programming languages.
• Defines and implements models to uncover patterns and predictions creating business value and innovation.
• Works with the business to understand the business domain perspective.
• Effectively tells stories with the data using visualization tools/methods to demonstrate insight impact and business value.
• Assures accuracy, integrity, and compliance of cleansed data.
• Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
• Leads a project team of data science professionals
• Collaborates and communicates with project team regarding project progress and issue resolution.
• Represents the data science team for all phases of larger and more-complex development projects.
• Provides guidance, training and mentoring to less experienced staff members.

Knowledge & Skills

• Using statistics, mathematics, algorithms and programming languages.
• Understanding of how to manage disparate unstructured and structured data in a distributed environment.
• Fluent in structured and unstructured data and modern data transformation methodologies.
• Ability to create models to pull valuable insights from data.
• Create stories and visualizations to describe and communicate data insights.
• Ability to use creativity to spot trends and tease out patterns in large datasets.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills; mastery in English and local language.
• Ability to effectively communicate data insights to project team and leadership and negotiate options.

Scope & Impact

• Collaborates with peers, junior engineers, data scientists and project team.
• Typically interacts with high-level Individual Contributors, Managers and Program Teams.
• Leads a project requiring data engineering solutions development.

Education & Experience

• Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
• Typically 4-6 years’ experience including graduate or postgraduate research.

Job -

Software

Schedule -

Full time

Shift -

No shift premium (Spain)

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).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement