Unique mastery and recognized authority on relevant subject matter knowledge including machine learning technologies, theories and techniques. Contributes to the development of innovative principles and ideas. Successfully operates in HP’s most complex disciplines. Provides highly innovative solutions. Leads large, cross-division functional teams or projects that affect the organization's long-term goals and objectives. May participate in cross-division, multi-function teams. Provides mentoring and guidance to lower level employees. Routinely exercises independent judgment in developing methods, techniques and criteria for achieving objectives. Develops strategy and sets functional policy and direction. Acts as a functional manager within area of expertise but does not manage other employees as a primary job function.

Responsibilities

• Leads organization wide team or teams of other data science professionals in complex projects to mine data using modern tools and programming languages.
• Defines and implements 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, provide domain-specific expertise in cross-organization projects/initiatives.
• Communicating business value and innovation potential through effective insights/visualizations.
• Represents the business at data science events, forums, boards.
• Prepares and presents literature, presentations, invention disclosures for peer review & publication in industry data science domain initiatives and conferences.
• Assures insights are communicated regularly and effectively, reviewing designs, models and accuracy 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.

Knowledge & Skills

• Extensive experience using statistics, mathematics, algorithms and programming languages to solve big data challenges.
• Demonstrated innovation in the domain
• Fluent in structured and unstructured data, its management, and modern data transformation methodologies.
• Ability to define and create complex models to pull valuable insights, predictions and innovation from data.
• Effectively and creatively tell stories and create visualizations to describe and communicate data insights.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills; mastery in English and local language.
• Ability to effectively communicate data product architectures and/or algorithm design proposals and negotiate options at senior management levels, BU and executive levels.

Scope & Impact

• Collaborates with peers, junior engineers, data scientists and project team.
• Typically interacts with high- level Individual Contributors, Managers, Directors and Program Core Teams.
• Leads multiple projects requiring data engineering solutions development.
• Drives design innovation.

Education & Experience

• Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
• Typically 10+ years’ experience including graduate or postgraduate research.

In accordance with applicable law, an offer of employment is conditional upon you providing proof that you are fully vaccinated against COVID 19 (as defined by the CDC) as of your first day of employment.

HP is an equal opportunity employer: https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c08129225

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