In this team we work with internal stakeholders, helping different organizations sell more effectively through our data-driven solutions. For this, we need to collaborate with fellow data scientists, data engineers, sometimes project managers and interact with different organizations.

As a data scientist, you will need to use statistics, critical thinking to structure problems and be creative to find smart down-to-earth solutions considering the business we are helping.

Responsibilities:

• Defines and implements models to uncover patterns and predictions.

• Works with the business to understand the business domain perspective.

• Assures accuracy, integrity, and compliance of cleansed data.

• 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.

Requirements:

• Typically 4-6 years' experience including graduate or postgraduate research.

• Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.

• Python (preferred or R); Databricks working knowledge is a plus.

• Very strong statistical knowledge, as well as machine learning.

• 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.

• 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.

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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).