HP App Monetezation Data explorer

HP•Vancouver, WA

5d•Onsite

About The Position

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 modelling 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 modelling 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.

Requirements

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.
Programming Language/s Certification (SQL, Python, or similar)
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)
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity

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.

Benefits

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