Principal Data Scientist - Springfield, United States - HP

Description

HP's Digital and Transformation Organization (D&TO) is focused on building world-class digital capabilities, and our Data Science team is responsible for leading the development the data science models to support that vision.

Whether it's improving our ability to do demand planning & forecasting, or better understanding the behavior of our partners & customers, in this role you will be empowered to work across a range of areas and use cases, leveraging your expertise with machine learning and/or statistics modeling to deliver value.

Responsibilities

Leverages structured and unstructured data to build and deploy machine learning or statistical models.

Partners with senior stakeholders and DS leadership to assess, develop and position data science projects in order to deliver value to the organization.

Navigates complex data and business processes in order to build end-to-end solutions
Is able to leverage strong communication skills to deliver complex messaging to both technical and non-technical leaders
Can engage in multiple projects while coordinating the efrorts more junior team members within the context of each project.
Can manage all data science aspects of a project - often partnering with project management professionals as part of broader, company-wide engagements

Knowledge & Skills

Knowledge of statistics and machine learning, specifically regression, classification and time series methods.
Extensive experience applying stats/ML methods to specific business domains (supply chain, planning, marketing, etc.)
Ability to translate real-world problems into questions that can be answered via data science models.
Expert level proficiency working with Python and SQL; experience in software development a plus.
Ability to engage with stakeholders in order to transform problem statements to ensure value delivery.
Excellent written and verbal communication skills

Scope & Impact

Expected to mentor more junior team members on a per-project basis, and interact frequently with project managers, DS leadership and senior stakeholders.

Typically interacts with high- level Individual Contributors, Managers, Directors and Program Core Teams.
Leads multiple projects requiring a range of data science topics, including data engineering, statistical/ml modeling, and business intelligence

Education & Experience

Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
Typically 6-10 years' experience including graduate or postgraduate research.

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