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Data Scientist Personal Systems

4 months ago

Spring, United States Hewlett Packard Full time

HP Inc. is an iconic brand, rooted in technology, pioneering new markets, and supporting values that have mattered for over 80 years. We are on a mission to be the most sustainable company in the world while bringing modern technology innovations to our customers across hardware, software, and services platforms. We are here to make HP a destination workplace where world-class talent comes to build once-in-a-lifetime careers. We want everyone in our organization to learn, grow, perform, and thrive while creating an industry-leading company.

Now is an exciting time to join HP’s **Customer Experience and Portfolio Strategy **business where you will play an integral role in innovating and transforming the future of compute through AI differentiated PCs and industry leading AI software solutions. Our mission is clear - bring AI to the masses through hardware and amazing software experiences. The Customer Experience and Portfolio Strategy team is on the leading edge and creating the future of R&D through AI.***

**_ 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 project team to understand problem statements, initiates and direction.
- Tells stories with the data using visualization tools/methods to demonstrate insight impact.
- Assures accuracy, integrity, and compliance of cleansed data.
- Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
- Collaborates and communicates with project team regarding project progress and issue resolution and suggests changes or improvements.

**_ Knowledge & Skills_**
- Using statistics, mathematics, algorithms, and programming languages (coding skills). Python.
- Understanding of disparate unstructured and structured data in a distributed environment.
- Solid grasp of 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.
- Strong analytical and problem-solving skills.
- Creative.
- Excellent written and verbal communication skills; mastery in English and local language.
- Ability to effectively communicate data insights negotiate options.

**_ Scope & Impact_**
- Collaborates with peers, junior engineers, data scientists and project team.
- Typically partners with high-level Individual Contributors and Managers.
- Supports projects requiring data engineering solutions expertise.

**_ Education & Experience_**
- Bachelor's or Master's degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
- Typically 2-4 years’ experience including graduate or postgraduate research.