North America, Principal Customer Analytics

North America, Principal Customer Analytics

Description -

Job Summary
This role sits in the North America Business Planning and Strategy team and will work across the entire market and RTM’s (Routes to Market) including End User Sales, Commercial Channel, and our Consumer business. You will be responsible for enabling innovation and creativity by bringing cutting edge perspectives on adopting latest data mining and modelling techniques. The role understands current complex business problems and future business strategy to assess, build and deploy required data mining and modelling capabilities. The role is involved in driving standardization, productivity and cross team learning by establishing processes and SOPs for entire data model development lifecycle. The role drives excellence through continuous improvement in model accuracy and reliability.

Responsibilities
• Leads organization wide team or teams of other data engineering and data science professionals in complex projects to mine data using modern tools and programming languages.
• 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.
• Assures insights are communicated regularly and effectively, reviewing designs, models and data compliance.
• Defines, communicates and drives data insights/innovation into the business.
• Leverages recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.
• Provides guidance, training and mentoring to less experienced staff members.

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 10+ 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
• Artificial Intelligence
• Big Data
• Computer Science
• Data Analysis
• Data Mining
• Data Science
• Data Visualization
• Deep Learning
• Machine Learning
• 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

Impact & Scope
• Impacts large functions and leads large, cross-division functional teams or projects.

Complexity
• Provides highly innovative solutions to complex problems within established policy.

Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

The base pay range for this role is $146,650.00 to $212,650.00 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

 

Benefits

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)