Job Details

HP App Monetization Data Explorer

It is an exciting time to join the Consumer Services and Solutions (CSS) organization at HP. Do you enjoy being part of large-scale business model transformation, leveraging data to foster and serve direct relationships with end-users, and using data mining and modeling to drive business outcomes? You will have the chance to put your stamp on a strategic HP business.

HP is hiring a Data Explorer for the HP app. The right candidate understands current complex business problems and future business strategy. This candidate also assesses, builds, and deploys required data mining and modeling capabilities.

As the Data Explorer, you will drive excellence through continuous improvement in model accuracy and reliability while providing insights to help us deliver the right content to the end-users. You will collaborate with teams in a variety of HP partner organizations to optimize our content strategy.

HP is placing high priority on app revenue, and we're counting on an amazing customer experience as we evolve and scale this business. You can play an important part in the success of this program. Come join us to get in on the ground level of this new business and grow with us!

Job Summary: This role is responsible for enabling innovation and creativity by bringing cutting-edge perspectives on adopting latest data mining and modeling techniques. The role drives excellence through continuous improvement in model accuracy and reliability. Additionally, the role contributes to innovative ideas, works with cross-functional teams, and supports operational and strategic plans.

Responsibilities:

• Identifies and determines opportunities for predictive modeling to optimize operations and forecast future outcomes.
• Provides cross-functional teams with actionable recommendations and strategic plans based on analytical research.
• Defines models to uncover patterns and predictions creating business value and innovation.
• Manages and creates relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives.
• Ties insights into effective visualizations communicating business value and innovation potential.
• Works with various stakeholders, including business leaders, engineers, product managers, and data analysts, to identify business problems and develop data-driven solutions.

Education & Experience Recommended:

• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 7+ years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.

Preferred Certifications:

• Programming Language/s Certification (SQL, Python, or similar)

Knowledge & Skills:

• Algorithms
• Amazon Web Services
• Apache Spark
• Cloud analytics
• BI Dashboards
• Computer Science
• Data Analysis
• Data Mining
• Data Science
• Data Visualization
• Machine Learning
• Model deployment
• Natural Language Processing
• Predictive Modeling
• Python (Programming Language)
• R (Programming Language)
• SQL (Programming Language)
• Statistical Modeling
• Statistics
• Tableau (Business Intelligence Software)

Cross-Org Skills:

• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

The pay range for this role is $83,000 to $127,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

HP offers a comprehensive benefits package for this position, including:

• * Health insurance
• * Dental insurance
• * Vision insurance
• * Long term/short term disability insurance
• * Employee assistance program
• * Flexible spending account
• * Life insurance
• * Generous time off policies, including;
• * 4-12 weeks fully paid parental leave based on tenure
• * 11 paid holidays
• * Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job: Data & Information Technology

Schedule: Full time

Shift: No shift premium (United States of America)

Travel: No

Relocation: No

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.

For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"