In this role, you will analyze vast amounts of data and work side by side with the Business and Sales organization to change business outcomes for the North America market. Working with a diverse and highly skilled team, you will combine technical expertise relative to Data Engineering and ETL processes with business strategy to take the business to the next level. Responsibilities

• Mines data using modern tools and programming languages.

• Defines and implements data flows and processes to innovate for the business.

• 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 engineering and 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

• Proficient in SQL and/or Python

• Experience in cloud based environments

• Ability to work across multiple businesses and projects at once

• Ability to work across multiple data streams

• Fluent in structured and unstructured data and modern data transformation methodologies.

• 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

Education & Experience

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

• Typically 4-6 years' experience in Data Engineering, Data Analytics or Data Science role

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).