Principal Marketing Data Scientist

HP•All Cities, CA

5d•$150,050 - $195,000

About The Position

This role enables innovation and creativity by applying current data mining and modeling techniques to complex business problems and future business strategies. It assesses, builds, and deploys data mining and modeling capabilities, establishes processes and standard operating procedures for the data model development lifecycle, and drives continuous improvement in model accuracy and reliability. The Principal Marketing Data Scientist leads organization-wide teams of data science professionals on complex projects, defines models that uncover patterns and predictions, and works with business partners and cross-functional stakeholders to develop data-driven solutions. The role communicates insights through effective visualizations and presentations, supports data compliance, and influences executive leaders, development partners, and industry standards groups. It also provides guidance, training, and mentoring to less experienced staff. The position is full-time. The U.S. annual pay range is $150,050 to $195,000, with additional opportunities for bonus and/or equity. Pay varies by work location, job-related knowledge, skills, and experience. HP describes a comprehensive benefits package, including health, dental, and vision insurance; disability and life insurance; an employee assistance program; flexible spending account; paid parental leave; paid holidays; and flexible paid vacation and sick leave.

Requirements

Four-year or graduate degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or a related discipline, or commensurate work experience or demonstrated competence.
Typically 10 or more years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.
Knowledge of algorithms, cloud services, big data, data analysis, data mining, data science, data visualization, deep learning, machine learning, natural language processing, predictive modeling, statistical modeling, and statistics.
Programming knowledge in Python, R, and SQL.
Cross-organizational skills including effective communication, results orientation, learning agility, digital fluency, and customer centricity.

Nice To Haves

Programming language certification in SQL, Python, or a similar language.
Experience with Amazon Web Services, Apache Spark, or Tableau.

Responsibilities

Lead organization-wide teams of data science professionals on complex projects to mine data using modern tools and programming languages.
Define models to uncover patterns and predictions that create business value and innovation.
Manage relationships with business partners to evaluate and foster data-driven innovation, and provide domain-specific expertise in cross-organization projects and initiatives.
Turn insights into effective visualizations that communicate business value and innovation potential.
Work with business leaders, engineers, product managers, and data analysts to identify business problems and develop data-driven solutions.
Prepare and present literature, presentations, and invention disclosures for peer review and publication in industry data science initiatives and conferences.
Ensure insights are communicated regularly and effectively, and review designs, models, and data compliance.
Define, communicate, and drive data insights and innovation into the business.
Use domain expertise, business acumen, and data systems leadership to influence executive business leadership, development partners, and industry standards groups.
Provide guidance, training, and mentoring to less experienced staff members.
Establish processes and standard operating procedures for the data model development lifecycle and drive continuous improvement in model accuracy and reliability.